WEBVTT - Do We Need Humanoid Robots?

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<v Speaker 1>Get in text with technology with text Stuff from stuff

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<v Speaker 1>dot com either everyone, and welcome to Tech Stuff. I'm

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<v Speaker 1>Jonathan Strickland and I'm joined by a special guest host today,

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<v Speaker 1>someone who is on the most popular podcast in the

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<v Speaker 1>How Stuff Works suite of shows, Josh Clark Glow, co

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<v Speaker 1>host of Stuff You Should Know. Josh, thank you so

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<v Speaker 1>much for joining us. Thank you for having me here.

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<v Speaker 1>And Josh has been very kind. He's had me on

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<v Speaker 1>Stuff you Should Know. Way back in the day when

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<v Speaker 1>you guys were doing one on the Necronomicon. Yeah, we

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<v Speaker 1>were starting to get knee deep into it and realizing

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<v Speaker 1>that we were going to get a lot, a lot

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<v Speaker 1>of listener mail, so we came and got you. You

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<v Speaker 1>know what was funny was that no warning, you came

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<v Speaker 1>to me asking about pronunciation I think two times, and

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<v Speaker 1>then on the third time you're like, just come on

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<v Speaker 1>inside the studio and you came and said down and

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<v Speaker 1>talked about the Necronomicon like a promicron. I know this

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<v Speaker 1>by the way, Yeah, Nickronomicon, Necronomicon. Okay, Yeah, and um

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<v Speaker 1>I am still to this day impressed. And that was

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<v Speaker 1>five years ago. Yeah, yeah, and then they haven't had

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<v Speaker 1>me on since But anyway, we had Josh on today. No,

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<v Speaker 1>you guys are super busy even out. Yeah, I know,

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<v Speaker 1>I was the one dragging my feet. Yeah, And I

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<v Speaker 1>asked Josh what he would like to cover because with

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<v Speaker 1>the fact that I've got all these guests coming in

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<v Speaker 1>to sit down with me. Um. You know, some people

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<v Speaker 1>like to come up with their own suggestions. Some people

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<v Speaker 1>preferred if I pick a topic and then they research it.

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<v Speaker 1>I asked Josh what he would like to talk about,

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<v Speaker 1>and you were really interested in the idea of humanoid robots. Well,

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<v Speaker 1>you have this awesome spreadsheet of um of listeners suggestions

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<v Speaker 1>and it might as well have been a neon when

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<v Speaker 1>it was going down the sheet. I'm like humanoid robots,

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<v Speaker 1>of course, and this is a great topic. In order

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<v Speaker 1>to really get into it, I was going to define

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<v Speaker 1>a few terms, even though a lot of these are

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<v Speaker 1>ones that I think most of us just kind of

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<v Speaker 1>understand just from the fact that this is in our

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<v Speaker 1>culture now. It's not just not just a reality as

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<v Speaker 1>far as technology goes, but it plays a large part

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<v Speaker 1>in fiction. In fact, that's where the term robot comes

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<v Speaker 1>from is from fiction. Uh, it was from Carrel Chopeck,

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<v Speaker 1>a Czechoslovakian playwright. I did, in fact listen to it

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<v Speaker 1>a couple of times. Correl Chope Yeah, because it's his

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<v Speaker 1>last name, is spelled c A p e k. And

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<v Speaker 1>it includes uh symbols that are not in the English alphabet,

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<v Speaker 1>like squiggly lines and little UFOs and things he wrote.

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<v Speaker 1>Are you are also known as Rossum's Universal Robots, and

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<v Speaker 1>the word robot comes from the check word robot to,

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<v Speaker 1>which means forced labor. Yeah, so a robot is a

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<v Speaker 1>an entity, a synthetic construct that is forced to do work.

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<v Speaker 1>Then we have humanoid, which just means resembling a human being.

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<v Speaker 1>That's a term that is relatively young. It started showing

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<v Speaker 1>up around the turn of the twentieth century, and uh

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<v Speaker 1>it started I think the first few times it was

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<v Speaker 1>ever mentioned was around nineteen twelve, and it was mostly

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<v Speaker 1>used then to describe fossils, saying these are humanoid fossils,

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<v Speaker 1>like yeah. And then we have android, which is we're

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<v Speaker 1>probably not gonna be using that word very often, but

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<v Speaker 1>android is a robot that's in the form of a human.

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<v Speaker 1>So all androids or robots, but not all robots are androids.

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<v Speaker 1>And you know, I ran into I looked up android

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<v Speaker 1>as well. Yeah, and apparently that's from like the early

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<v Speaker 1>eighteenth century. It's a little odd that it actually predates robots. Yeah,

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<v Speaker 1>but uh, when we look at myths and legends, there's

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<v Speaker 1>so many stories that involve a human like entity that's

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<v Speaker 1>not actually a person that you can see where it

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<v Speaker 1>gets translated in there. This gets a little confusing too,

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<v Speaker 1>because Star Wars they called all their abouts droids, but

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<v Speaker 1>there they aren't androids are two? T two is not

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<v Speaker 1>an android because he's not um or it's not human shaped.

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<v Speaker 1>You could even argue that C three Po is not

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<v Speaker 1>a true android because some people say to be an

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<v Speaker 1>android you have to appear, at least on casual glance

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<v Speaker 1>to be human. He's way too shiny, way too shiny.

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<v Speaker 1>Data from Star Trek next Generation might be uh android,

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<v Speaker 1>but he's an android who's had, you know, a long

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<v Speaker 1>time in the man cave. He hasn't seen much sun, right, Yeah,

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<v Speaker 1>because he's definitely got a weird complexion. Thing goes the

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<v Speaker 1>kid in a I would be an android David yes,

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<v Speaker 1>which turns out to be a popular name for droids

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<v Speaker 1>because there was well, there's David in AI and there

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<v Speaker 1>was also David and Prometheus. Oh you know, I never

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<v Speaker 1>saw Prometheus. I don't know if your listeners are going

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<v Speaker 1>to agree with me or not, because I could see

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<v Speaker 1>um getting shouted down. But I thought Prometheus was a

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<v Speaker 1>great movie. Even even upon second viewing, I thought it

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<v Speaker 1>was good. You know, I know that the from the

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<v Speaker 1>artistic level, a lot of people really loved it. And

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<v Speaker 1>then there were some people who said, how can you

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<v Speaker 1>get lost if you have a three dimensional map with

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<v Speaker 1>you at all time? But you know, plot versus artists,

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<v Speaker 1>I don't know. Then you've got replicants from Blade Runner.

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<v Speaker 1>These are more like cyborgs because they have some sort

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<v Speaker 1>of organic material attached to them. They're not completely you know,

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<v Speaker 1>synthetic material. So Terminator is another example. They have a

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<v Speaker 1>fleshy over skin on top of their metallic bodies. But

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<v Speaker 1>was that real skin that he had there was synthetic skin,

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<v Speaker 1>because that would make a difference. That's a good question.

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<v Speaker 1>And I uh, you know, I know that they referred

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<v Speaker 1>to them as cyborgs at least a few times in

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<v Speaker 1>the movies, which would suggest that it's actual skin. Maybe

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<v Speaker 1>it's lab grown human skin. So you know, there's some

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<v Speaker 1>fuzzy lines around these definitions. I would think that cyborgs

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<v Speaker 1>would be the hardest of all of the the humanoid

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<v Speaker 1>robots to make, because the flesh were just rot Like

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<v Speaker 1>you have your normal looking humanoid robot, your cyborg, and

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<v Speaker 1>it's ear would just fall off. Yeah, and it's not

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<v Speaker 1>as easy as you might think to wire together the

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<v Speaker 1>wet wear that's in our heads with hardware that runs

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<v Speaker 1>on circuits. We will often think of computers working in

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<v Speaker 1>a way that's similar to our brains, but in fact

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<v Speaker 1>the two work in very different ways. Well, it seems

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<v Speaker 1>like running into this, though Strickland um. The the more

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<v Speaker 1>we got into humanoid robotics, the more we started to

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<v Speaker 1>understand just how complex we are. Yeah, that's one of

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<v Speaker 1>the things that I think is a benefit of study

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<v Speaker 1>of humanoid robotics. The idea of pursuing the goal of

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<v Speaker 1>creating a humanoid robot is not just that we learn

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<v Speaker 1>more about all the different areas and robotics, and they're

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<v Speaker 1>a lot, and we'll talk about some of them, but

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<v Speaker 1>we also learn more about ourselves. We're trying to figure out, okay,

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<v Speaker 1>if we're going to make something that is able to

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<v Speaker 1>performed tasks the way human does. Then we really got

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<v Speaker 1>to take a close look at humans. That's that's the

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<v Speaker 1>first place to start. So what makes a humanoid robot?

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<v Speaker 1>And generally speaking, we're talking about a robot that has

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<v Speaker 1>basic features, usually at minimum a torso, arms and legs,

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<v Speaker 1>and is walking up right. Uh. It may have a

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<v Speaker 1>head or it might not. Early humanoid robots didn't, or

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<v Speaker 1>at least their sensory uh, instruments were all located within

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<v Speaker 1>the top part of the torso there wasn't like a

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<v Speaker 1>separate head. Did you see a picture of Minerva at

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<v Speaker 1>the Smithsonian. No? I did not. It's a robot to

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<v Speaker 1>her guide, But um, she came up in the humanoid

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<v Speaker 1>robot research and I think she's stretching it a little bit. Yeah,

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<v Speaker 1>she looks a bit like a washing machine with a

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<v Speaker 1>couple of UM cameras on top. So just those alone,

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<v Speaker 1>I guess makes her eligible for the humanoid robot realm.

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<v Speaker 1>But to stretching that, that seems like that's a bit

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<v Speaker 1>of a you know, if it has an appendage, that

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<v Speaker 1>doesn't necessarily make a humanoid. I mean you could look

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<v Speaker 1>at the Mars Curiosity rover, which has several appendages. But

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<v Speaker 1>I don't think anyone would ever describe it as humanoid, right, So, uh,

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<v Speaker 1>ideally a humanoid robot would be able to interact with

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<v Speaker 1>humans within a human environment. Because here's the thing about we,

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<v Speaker 1>we people, we have defined our environments to a large extent,

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<v Speaker 1>especially in developed nations, where the stuff that's around us

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<v Speaker 1>we have shaped so that it works within our capabilities,

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<v Speaker 1>right with our with our human environment. Thus far, if

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<v Speaker 1>you look at technology though, on the whole, we've pretty

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<v Speaker 1>much been forced to adapt to it. So for example,

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<v Speaker 1>like a keyboard, we don't normally, naturally you know, um

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<v Speaker 1>express ideas through our fingers on a little a little board, right,

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<v Speaker 1>we don't normally do that, So we had to adapt

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<v Speaker 1>to the technology and learn to type and get good

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<v Speaker 1>at it. With humanoid robots, it's basically going the exact opposite.

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<v Speaker 1>It's saying we already have an environment, We already are um,

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<v Speaker 1>you know, good at all this other stuff. If we're

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<v Speaker 1>gonna make humanoid robots, one of the great benefits is

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<v Speaker 1>they can adapt to us. Right, Yeah, we don't have

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<v Speaker 1>to uh create a unitask or robot that's really good

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<v Speaker 1>at one thing. Um that may or may not be

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<v Speaker 1>something that humans can do easily. We can make a

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<v Speaker 1>robot that's good lots of things. Uh. I also think

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<v Speaker 1>usually when I think of humanoid robots, when I think

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<v Speaker 1>of robots in general, I normally think that they are

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<v Speaker 1>at least semi autonomous. That's that's one of the things

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<v Speaker 1>I usually think of. It doesn't necessarily have to be.

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<v Speaker 1>You could have a tel operated robot, but I almost

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<v Speaker 1>think of that closer to the realm of like a

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<v Speaker 1>remote controlled car or a puppet even um So I

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<v Speaker 1>often one of the definitions I use is that it's

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<v Speaker 1>an autonomous or semi autonomous machine in human form, mechanical

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<v Speaker 1>and electronic, and it can thus do the sort of

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<v Speaker 1>things humans do, but do it in a totally synthetic way.

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<v Speaker 1>And you have to be careful when you say autonomous

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<v Speaker 1>or semi autonomous, because the state of the art right

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<v Speaker 1>now appears to be that robots display autonomy because they

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<v Speaker 1>just kind of wander off in places they're not supposed to.

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<v Speaker 1>But it's not because they want to. It's because their

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<v Speaker 1>their program just ran a foul of program. Right. There's

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<v Speaker 1>no determination there on the part of the robot. It's

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<v Speaker 1>not exploring its environment on its own accord. It's someone

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<v Speaker 1>made a mistake in the code somewhere and where the

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<v Speaker 1>robot was supposed to take a left hand turn at

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<v Speaker 1>this one you know, predetermined spot, and instead continued forward

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<v Speaker 1>or something exactly. Um, So I wanted to talk a

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<v Speaker 1>little bit about the history of humanoid robots and if

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<v Speaker 1>you wanna look way way way back, I mean, we're

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<v Speaker 1>talking about the first people to really kind of attempt

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<v Speaker 1>to build a humanoid machine that could mimic are the

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<v Speaker 1>movements at least of a person. You gotta go all

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<v Speaker 1>the way back to Greece between the years ten and

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<v Speaker 1>seventy Common era. That's when Hero of Alexandria started to

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<v Speaker 1>create various machines. He's also the person who made the

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<v Speaker 1>first working steam engine style tool, which is pretty impressive. Yeah.

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<v Speaker 1>He he had come up with a lot of very

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<v Speaker 1>clever designs. Whether they were built or not depends upon uh,

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<v Speaker 1>certain accounts and and if they're true. But the stuff

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<v Speaker 1>he designed is completely build a bowl. So he didn't

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<v Speaker 1>come up with any ideas where it was so you know, outlandish,

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<v Speaker 1>that was impossible. He wasn't just like drawing in the

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<v Speaker 1>margins of his diary or something. No, Yeah, he came

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<v Speaker 1>up with specific plans that people today have recreated, they

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<v Speaker 1>built their own versions. Yeah. So he created a lot

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<v Speaker 1>of designs for automata, although these are things that were

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<v Speaker 1>controlled by pulleys and ropes and cogged wheels, and uh

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<v Speaker 1>needed some form of outside influence to make them work,

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<v Speaker 1>so they're not all fully self contained like the show

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<v Speaker 1>biz pizza rockefire explosion band. Yeah exactly. Yeah, yeah, some

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<v Speaker 1>one of those audio animatronic figures that that looks very robotic,

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<v Speaker 1>but you realize it's really just one tiny piece of

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<v Speaker 1>a giant system. Uh. In fourteen, we get up to

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<v Speaker 1>Leonardo da Vinci. He designed an automaton in the form

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<v Speaker 1>of a mechanical night which uh again supposedly he built.

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<v Speaker 1>There's no actual record of an existing one from history,

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<v Speaker 1>but they have created ones based on the design since then,

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<v Speaker 1>and it could do things like move its arms and

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<v Speaker 1>raise its visor. Who's doing this? Who's doing this? Crazy

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<v Speaker 1>engineers who are also uh, very excited about history and

0:12:50.320 --> 0:12:53.600
<v Speaker 1>very wealthy too, I would imagine. Yeah, so in this case,

0:12:53.640 --> 0:12:59.880
<v Speaker 1>you're talking about Mark Rossheim, who recreated this particular machine

0:13:00.080 --> 0:13:02.520
<v Speaker 1>and it it's a night. It's a night in German

0:13:02.559 --> 0:13:07.640
<v Speaker 1>medieval armor. And it can sit down, it can stand up,

0:13:07.679 --> 0:13:09.600
<v Speaker 1>it can move its arms, it can raise a visor,

0:13:09.720 --> 0:13:15.040
<v Speaker 1>it can work its jaw. Um, I imagine. So I

0:13:15.120 --> 0:13:18.719
<v Speaker 1>tried to find video of Rossheim's version working, and I

0:13:18.760 --> 0:13:22.400
<v Speaker 1>couldn't find it. He did, however, make another of da

0:13:22.480 --> 0:13:27.480
<v Speaker 1>Vinci's inventions, which was a self driving cart that used Yeah,

0:13:27.520 --> 0:13:31.120
<v Speaker 1>you you wound a spring and it had cam stops

0:13:31.160 --> 0:13:33.800
<v Speaker 1>that would allow it to steer a predetermined path. You

0:13:33.800 --> 0:13:37.760
<v Speaker 1>would actually program the cart by putting cam stops in

0:13:37.800 --> 0:13:40.600
<v Speaker 1>particular locations along the cam and that would tell it

0:13:40.679 --> 0:13:42.520
<v Speaker 1>when to turn left or when to turn right. So

0:13:43.200 --> 0:13:47.960
<v Speaker 1>it couldn't it couldn't navigate through uh an obstacle course

0:13:48.080 --> 0:13:50.719
<v Speaker 1>unless you had already previously seen the obstacle course and

0:13:50.760 --> 0:13:53.319
<v Speaker 1>you could figure out when it needed to turn ahead

0:13:53.360 --> 0:13:57.000
<v Speaker 1>of time. So you're essentially programming the device. Um. There

0:13:57.040 --> 0:14:00.280
<v Speaker 1>are lots of examples in the renaissance of automata and

0:14:00.400 --> 0:14:03.280
<v Speaker 1>semi automata, things that are really more like puppets. You've

0:14:03.320 --> 0:14:08.760
<v Speaker 1>heard about the mechanical turk, the chess playing robot uh

0:14:08.840 --> 0:14:10.840
<v Speaker 1>So it looked like it was a robot that could

0:14:10.840 --> 0:14:13.640
<v Speaker 1>play chess and was really really good at playing chess

0:14:13.880 --> 0:14:16.200
<v Speaker 1>and it turned out eventually to be a hoax. It

0:14:16.280 --> 0:14:18.480
<v Speaker 1>was actually it was actually a puppet, and there was

0:14:18.520 --> 0:14:22.680
<v Speaker 1>an actual chess master hidden in a cabinet beneath the

0:14:23.120 --> 0:14:27.320
<v Speaker 1>mechanical turk who sat kind of Indian style with a

0:14:27.440 --> 0:14:30.080
<v Speaker 1>chessboard in front of him and could move the pieces

0:14:30.120 --> 0:14:31.640
<v Speaker 1>to where it needed to be. But it was all

0:14:31.640 --> 0:14:34.000
<v Speaker 1>being guided by an actual chess master who was hidden

0:14:34.080 --> 0:14:40.440
<v Speaker 1>under When that that was late Renaissance early Enlightenment, pretty impressive, Yeah,

0:14:40.520 --> 0:14:43.040
<v Speaker 1>it was. It was neat that people were thinking about

0:14:43.040 --> 0:14:45.760
<v Speaker 1>these sort of things. Uh. By ninety six we get

0:14:45.800 --> 0:14:49.440
<v Speaker 1>the first humanoid robot to appear on film, uh Metropolis,

0:14:49.760 --> 0:14:53.520
<v Speaker 1>the character of Maria and at nine at the World's Fair,

0:14:53.560 --> 0:14:58.080
<v Speaker 1>Westinghouse Electric Corporation showed off a robot called Electro. Now

0:14:58.120 --> 0:15:00.880
<v Speaker 1>have you ever seen this? So he kind of looks

0:15:00.960 --> 0:15:03.680
<v Speaker 1>like the ten Man from the Wizard of Oz film.

0:15:03.840 --> 0:15:07.080
<v Speaker 1>I have seen him. Yes, he smokes. I have seen

0:15:07.120 --> 0:15:09.000
<v Speaker 1>one of the things he can do. He had a

0:15:09.000 --> 0:15:13.120
<v Speaker 1>little bellows in his head that allowed him to puff smoke.

0:15:13.520 --> 0:15:16.560
<v Speaker 1>He could also kind of speak. He had a seventy

0:15:16.560 --> 0:15:22.320
<v Speaker 1>eight revolution per minute UH record player essentially inside of him.

0:15:23.360 --> 0:15:25.400
<v Speaker 1>I suppose if the if the needles skipped, it would

0:15:25.440 --> 0:15:28.640
<v Speaker 1>at least sound like it. Um. He would repeat himself over.

0:15:28.720 --> 0:15:35.479
<v Speaker 1>He called the audience Twitts. That was Grandpa. Yeah, he's apparently.

0:15:35.680 --> 0:15:39.280
<v Speaker 1>The main reason he was retired from being shown off

0:15:39.280 --> 0:15:42.840
<v Speaker 1>at exhibitions was because it was very dated kind of lingo.

0:15:43.520 --> 0:15:46.160
<v Speaker 1>But he was used at the ninety nine World's Fair,

0:15:47.480 --> 0:15:50.240
<v Speaker 1>which was It's funny because I'll be talking about that

0:15:50.280 --> 0:15:53.520
<v Speaker 1>again in another episode very shortly. The World's Fair would

0:15:53.520 --> 0:15:57.000
<v Speaker 1>have been an amazing thing to visit. Um, I'm more

0:15:57.000 --> 0:16:00.800
<v Speaker 1>of I can understand that. But if you're if you're

0:16:00.800 --> 0:16:02.480
<v Speaker 1>going to get to the point where you're looking at

0:16:02.840 --> 0:16:06.520
<v Speaker 1>full scale anthropomorphic robots, you gotta get up to about nine.

0:16:08.000 --> 0:16:12.560
<v Speaker 1>That's when the Waybot one from the Waseda University came out.

0:16:12.880 --> 0:16:16.040
<v Speaker 1>That was the first full scale anthropomorphic robot developed in

0:16:16.080 --> 0:16:19.840
<v Speaker 1>the world which had limb control, a vision system, so

0:16:19.880 --> 0:16:22.760
<v Speaker 1>I had an optical system that could recognize its environment

0:16:22.760 --> 0:16:26.680
<v Speaker 1>and objects and measure distance, and it also had a

0:16:26.680 --> 0:16:30.640
<v Speaker 1>conversation system. Uh. It was actually a collection of a

0:16:30.640 --> 0:16:34.080
<v Speaker 1>bunch of very complex machinery. Like its hands had been

0:16:34.120 --> 0:16:37.880
<v Speaker 1>previously developed independently of the robots, so had its legs.

0:16:38.560 --> 0:16:41.160
<v Speaker 1>So it's like all these people coming up with these

0:16:41.240 --> 0:16:44.400
<v Speaker 1>various pieces saying, all right, let's connect all this together

0:16:44.440 --> 0:16:47.720
<v Speaker 1>and see what happens. So that was a huge, huge

0:16:47.840 --> 0:16:50.240
<v Speaker 1>leap forward. Yeah. You know, if you'll notice, we went

0:16:50.320 --> 0:16:55.480
<v Speaker 1>basically from um, HOAXI chess playing turks to you know,

0:16:55.840 --> 0:16:58.920
<v Speaker 1>a robot that could converse and interact with its environment,

0:16:59.400 --> 0:17:02.600
<v Speaker 1>and then um, it seems like we we kind of

0:17:02.640 --> 0:17:04.400
<v Speaker 1>went off course for a little bit and now we're

0:17:04.400 --> 0:17:06.960
<v Speaker 1>coming full circle back to that where, like you said,

0:17:07.160 --> 0:17:11.000
<v Speaker 1>a lot of different disciplines are contributing these different pieces

0:17:11.000 --> 0:17:13.959
<v Speaker 1>to what will eventually be all of the best practices

0:17:14.040 --> 0:17:17.479
<v Speaker 1>from each little sub discipline put together in you know,

0:17:17.600 --> 0:17:20.520
<v Speaker 1>the true humanoid robot. Well yeah, I mean, if we're

0:17:20.520 --> 0:17:24.080
<v Speaker 1>talking about a humanoid robot that's capable of interacting with people,

0:17:24.720 --> 0:17:27.399
<v Speaker 1>uh as if they were you know, their own person,

0:17:27.520 --> 0:17:29.960
<v Speaker 1>even though maybe an odd person, not like the kind

0:17:29.960 --> 0:17:33.600
<v Speaker 1>of person you would typically run into. There's it's a

0:17:33.680 --> 0:17:38.520
<v Speaker 1>multidisciplinary approach. I mean, artificial intelligence by itself is multidisciplinary

0:17:39.000 --> 0:17:42.440
<v Speaker 1>because you have sensing, you have so all the perception,

0:17:42.800 --> 0:17:46.520
<v Speaker 1>there's all these different just that's multi disciplinary. Then you've

0:17:46.520 --> 0:17:51.800
<v Speaker 1>got the processing, the cognition, things like planning, navigation. There

0:17:51.840 --> 0:17:54.919
<v Speaker 1>are so many things that come together to make a

0:17:54.960 --> 0:17:59.600
<v Speaker 1>humanoid robot a a possibility. And that's just the the

0:17:59.720 --> 0:18:02.879
<v Speaker 1>men toll side, right. Then you have all the physical side,

0:18:02.920 --> 0:18:05.080
<v Speaker 1>the how do you make it walk? How do you

0:18:05.080 --> 0:18:08.280
<v Speaker 1>make it keep its balance? So lots of stuff to

0:18:08.400 --> 0:18:11.920
<v Speaker 1>consider there. Waybot two came out in nineteen eighty that

0:18:12.040 --> 0:18:14.560
<v Speaker 1>was a specialist robot. It could play a keyboard trying

0:18:14.560 --> 0:18:18.640
<v Speaker 1>to keyboard. He could read sheet music and play music. Uh.

0:18:18.680 --> 0:18:21.240
<v Speaker 1>It was because it was a specialist. It was not

0:18:21.320 --> 0:18:24.959
<v Speaker 1>able to do the general functions that it's predecessor could do.

0:18:25.320 --> 0:18:27.760
<v Speaker 1>And that's why of the issues in robotics today is

0:18:27.800 --> 0:18:32.520
<v Speaker 1>that it's very challenging to build a general purpose robot.

0:18:32.760 --> 0:18:35.840
<v Speaker 1>It's much easier to take a specific task that you

0:18:35.880 --> 0:18:37.639
<v Speaker 1>need to have done and to sign a robot to

0:18:37.720 --> 0:18:41.840
<v Speaker 1>do that, because I mean, we already have those rombas

0:18:41.640 --> 0:18:45.720
<v Speaker 1>and rovers. I mean, you know, there's there's also all

0:18:45.760 --> 0:18:50.520
<v Speaker 1>the robots and manufacturing, all the welding robots things like that. Uh.

0:18:51.200 --> 0:18:55.159
<v Speaker 1>Nine Pacific Northwest National Laboratory built a robot called Manny

0:18:56.560 --> 0:18:59.280
<v Speaker 1>that was the first full scale android body and it

0:18:59.359 --> 0:19:02.880
<v Speaker 1>had forty degrees of freedom, but no AI or autonomy.

0:19:02.920 --> 0:19:06.040
<v Speaker 1>It was completely teleoperated. And um, it took me a

0:19:06.040 --> 0:19:08.960
<v Speaker 1>couple of times to figure out what degrees of freedom meant. Yeah, um,

0:19:09.000 --> 0:19:11.320
<v Speaker 1>I thought it meant like the it could move its

0:19:11.440 --> 0:19:16.080
<v Speaker 1>arm forty two degrees basically. But a degree of freedom

0:19:16.200 --> 0:19:18.040
<v Speaker 1>is say, like it can move its wrist. That's a

0:19:18.080 --> 0:19:21.159
<v Speaker 1>degree of freedom. It can turn its head left and right.

0:19:21.200 --> 0:19:23.240
<v Speaker 1>That's a degree of freedom right right. And if you

0:19:23.280 --> 0:19:26.240
<v Speaker 1>look at the human hand, the human hand has about

0:19:26.320 --> 0:19:29.960
<v Speaker 1>thirty degrees of freedom, meaning that you look at the

0:19:30.000 --> 0:19:32.640
<v Speaker 1>way each finger and your thumb can move. You look

0:19:32.640 --> 0:19:34.400
<v Speaker 1>at the way you can clench a fist, you can

0:19:34.440 --> 0:19:38.159
<v Speaker 1>twist your hand with your wrist. Um, those are all

0:19:38.200 --> 0:19:41.320
<v Speaker 1>different degrees of freedom. And uh. In fact, one of

0:19:41.359 --> 0:19:44.200
<v Speaker 1>the cool things about robots is that as we get

0:19:44.240 --> 0:19:47.120
<v Speaker 1>better and better at designing them, we can create robots

0:19:47.119 --> 0:19:49.240
<v Speaker 1>that have far more degrees of freedom than the human

0:19:49.280 --> 0:19:52.920
<v Speaker 1>body does. So I like the idea of a humanoid

0:19:53.080 --> 0:19:56.639
<v Speaker 1>robot in the future that has sty degree motion with

0:19:56.680 --> 0:19:58.959
<v Speaker 1>its wrist and then just having it changed light bulbs

0:19:59.680 --> 0:20:02.080
<v Speaker 1>is spin and not have to do the little twisty

0:20:02.119 --> 0:20:04.560
<v Speaker 1>turning motion. How many robots does it take to change

0:20:04.560 --> 0:20:07.120
<v Speaker 1>the light bulbs. Just just the one, just that one,

0:20:07.440 --> 0:20:10.720
<v Speaker 1>just one billion dollar room. Yeah. Yeah, I'm not saying

0:20:10.720 --> 0:20:14.800
<v Speaker 1>it's a fishing system. I'm just saying I'm a supremely

0:20:14.880 --> 0:20:19.359
<v Speaker 1>lazy human being with tall ceilings. Uh In nine, Honda

0:20:19.400 --> 0:20:22.240
<v Speaker 1>introduced the P two Robot, which was a self contained

0:20:22.320 --> 0:20:25.760
<v Speaker 1>robotic humanoid. It could walk and climb stairs. The P

0:20:25.960 --> 0:20:29.000
<v Speaker 1>three followed in nine and in two thousand two, Honda

0:20:29.119 --> 0:20:33.639
<v Speaker 1>introduced My good buddy as Emo. As the first article

0:20:33.680 --> 0:20:38.320
<v Speaker 1>I wrote for How Stuff Works as works an episode

0:20:38.320 --> 0:20:40.439
<v Speaker 1>on it. I have not done a full episode on

0:20:40.600 --> 0:20:44.160
<v Speaker 1>as Amo. I even was offered the opportunity to meet

0:20:44.240 --> 0:20:46.560
<v Speaker 1>as Amo when I first wrote the article, but it

0:20:46.560 --> 0:20:48.919
<v Speaker 1>would have meant having to travel to Disneyland to do it,

0:20:49.000 --> 0:20:51.120
<v Speaker 1>and at the time How Stuff Works was not prepared

0:20:51.160 --> 0:20:55.359
<v Speaker 1>to do such a I went to Disneyland by myself,

0:20:55.840 --> 0:20:59.080
<v Speaker 1>uh well with my wife, and we went and saw

0:20:59.359 --> 0:21:01.920
<v Speaker 1>the Asimo production. And at the end of it, I

0:21:02.359 --> 0:21:05.200
<v Speaker 1>talked to one of the disney cast members and I said, yeah,

0:21:05.320 --> 0:21:07.320
<v Speaker 1>I wrote the article about how Asthma works for How

0:21:07.320 --> 0:21:09.520
<v Speaker 1>Stuff Works, and she said, hang on a minute. And

0:21:09.520 --> 0:21:11.440
<v Speaker 1>I got to meet Asthma and it was a man

0:21:11.520 --> 0:21:14.160
<v Speaker 1>in a suit. Right. It was actually it was actually

0:21:14.200 --> 0:21:17.040
<v Speaker 1>a collection of cats that the duct taped together and

0:21:17.040 --> 0:21:20.600
<v Speaker 1>then plastic. No, it was a working robot that's pretty new.

0:21:20.640 --> 0:21:23.320
<v Speaker 1>Blown away, I was very much blown away. It was

0:21:23.440 --> 0:21:25.399
<v Speaker 1>cool seeing it up close. I mean, it looks like

0:21:25.400 --> 0:21:28.240
<v Speaker 1>a little tiny astronaut, right, because he's got like the

0:21:28.280 --> 0:21:30.600
<v Speaker 1>face plate. Especially. I love the people call it he

0:21:31.680 --> 0:21:33.800
<v Speaker 1>people give And I do this all the time too

0:21:33.960 --> 0:21:37.080
<v Speaker 1>with robots. I'll assign a gender even though technically many

0:21:37.119 --> 0:21:40.360
<v Speaker 1>of them are specifically genderless. As amo is is supposed

0:21:40.400 --> 0:21:42.879
<v Speaker 1>to be genderless, but I often refer to asthmosa he

0:21:42.960 --> 0:21:44.760
<v Speaker 1>as well. Well, you know why. It's the shoulders, I

0:21:44.760 --> 0:21:47.399
<v Speaker 1>would guess. Yeah, they go straight across and and and

0:21:47.520 --> 0:21:51.600
<v Speaker 1>far out. That's very masculine no matter what. Yeah, and

0:21:51.680 --> 0:21:53.879
<v Speaker 1>you need that, I would guess you need shoulders in

0:21:53.920 --> 0:21:58.480
<v Speaker 1>a humanoid robot with flexible arms. Well, and also, I'm

0:21:58.520 --> 0:22:02.160
<v Speaker 1>sure every single element Asimo is built with the balance

0:22:02.200 --> 0:22:05.840
<v Speaker 1>in mind, because Asimo is the first robot that can run. Yes,

0:22:05.880 --> 0:22:09.040
<v Speaker 1>I've seen him run. It's gawky. Yeah, it kind of

0:22:09.080 --> 0:22:10.840
<v Speaker 1>looks like someone who really needs to get to the

0:22:10.840 --> 0:22:13.680
<v Speaker 1>bathroom as a little bit of a hoppy kind of run.

0:22:14.080 --> 0:22:16.840
<v Speaker 1>But the the definition of run here is that there

0:22:16.880 --> 0:22:20.480
<v Speaker 1>are moments where both feet are off the ground. So

0:22:20.800 --> 0:22:23.359
<v Speaker 1>walking you always have one foot in contact with the ground,

0:22:23.359 --> 0:22:27.160
<v Speaker 1>and running both feet at some point are out of contact.

0:22:27.240 --> 0:22:30.840
<v Speaker 1>And that's a huge deal for robotics, right. I mean,

0:22:31.359 --> 0:22:34.679
<v Speaker 1>you have a machine that completely separates itself from contact

0:22:34.680 --> 0:22:37.680
<v Speaker 1>on the ground. It has no propulsion to keep it upright,

0:22:38.160 --> 0:22:39.960
<v Speaker 1>you know, it doesn't have like propellers or jets or

0:22:40.000 --> 0:22:42.719
<v Speaker 1>anything like that, so you have to design it so

0:22:42.760 --> 0:22:45.760
<v Speaker 1>it can it can propel itself off the ground and

0:22:45.800 --> 0:22:48.520
<v Speaker 1>then catch itself when it comes back down without falling over.

0:22:48.640 --> 0:22:51.800
<v Speaker 1>And that is a non trivial challenge, No, it's an

0:22:51.880 --> 0:22:55.520
<v Speaker 1>enormous challenge that robot is just UM really kind of

0:22:55.640 --> 0:22:58.879
<v Speaker 1>started to tackle lately. Um. One of the ways that

0:22:58.960 --> 0:23:02.159
<v Speaker 1>they've overcome it is with rounded feet, which are very

0:23:02.160 --> 0:23:05.120
<v Speaker 1>helpful in keeping balanced and allowing it to run. UM.

0:23:05.160 --> 0:23:08.840
<v Speaker 1>But there's drawbacks to it as well, Like the robot

0:23:08.880 --> 0:23:12.720
<v Speaker 1>can't start itself, it also can't stop, so it can't

0:23:12.760 --> 0:23:15.880
<v Speaker 1>stop moving, which is not something you want. Like, there's

0:23:15.920 --> 0:23:19.040
<v Speaker 1>still some challenges there ahead of the robotists who are

0:23:19.119 --> 0:23:21.399
<v Speaker 1>learning to teach a robot to walk, and even the

0:23:21.440 --> 0:23:25.520
<v Speaker 1>ones that have taught robots to walk, um, they typically

0:23:25.560 --> 0:23:28.680
<v Speaker 1>can just walk over flat surfaces with no obstacles. When

0:23:28.680 --> 0:23:31.280
<v Speaker 1>they encounter stairs, there in trouble. But then you have

0:23:31.400 --> 0:23:34.600
<v Speaker 1>robots that know how to go upstairs, but they can't

0:23:34.600 --> 0:23:38.159
<v Speaker 1>walk on a flat surface. Eventually, all this information, all

0:23:38.200 --> 0:23:40.359
<v Speaker 1>this knowledge will be brought together and you'll have a

0:23:40.440 --> 0:23:43.320
<v Speaker 1>robot that can walk, no problem. Right. In fact, this

0:23:43.400 --> 0:23:48.639
<v Speaker 1>kind of transitions nicely into those challenges that face designers

0:23:48.640 --> 0:23:52.840
<v Speaker 1>of humanoid robots and and locomotion is the probably one

0:23:52.840 --> 0:23:55.680
<v Speaker 1>of the top ones, at least from the physical engineering side.

0:23:56.080 --> 0:23:58.359
<v Speaker 1>For example, you know, as Amo can can go up

0:23:58.359 --> 0:24:02.040
<v Speaker 1>and downstairs, but that is a little deceptive because as

0:24:02.080 --> 0:24:05.520
<v Speaker 1>Amo has to be programmed to go up or down

0:24:05.520 --> 0:24:08.520
<v Speaker 1>the staircase and know exactly how many stairs are involved.

0:24:09.040 --> 0:24:11.960
<v Speaker 1>It's not so much it's not a case of Asimo

0:24:12.080 --> 0:24:16.120
<v Speaker 1>detecting a staircase and then uh and then navigating through

0:24:16.119 --> 0:24:19.520
<v Speaker 1>oh up or down. It it's the fact that all

0:24:19.600 --> 0:24:25.240
<v Speaker 1>right now we're initiating your stair climbing programs. Yeah, exactly.

0:24:25.320 --> 0:24:29.880
<v Speaker 1>It's kind of like smoke and mirrors robotics. Basically, it's

0:24:29.920 --> 0:24:32.879
<v Speaker 1>at but that's you know, those are the little no

0:24:32.880 --> 0:24:34.760
<v Speaker 1>no pun intended, Those are the little steps you have

0:24:34.800 --> 0:24:36.760
<v Speaker 1>to take in order to get to the destination. What

0:24:36.800 --> 0:24:38.560
<v Speaker 1>do you mean, no pun intended. I don't buy that

0:24:38.720 --> 0:24:41.480
<v Speaker 1>at all. I started saying it without thinking about it,

0:24:41.520 --> 0:24:44.200
<v Speaker 1>and then I mean, but then I did follow through

0:24:44.240 --> 0:24:45.880
<v Speaker 1>with it, so I guess there was some intention there

0:24:45.920 --> 0:24:49.040
<v Speaker 1>at the end. But uh yeah. They're also not very

0:24:49.080 --> 0:24:54.680
<v Speaker 1>good at going across any kind of uneven terrain, right, So,

0:24:55.800 --> 0:24:59.040
<v Speaker 1>humanoid robots in particular find it very difficult to maintain

0:24:59.080 --> 0:25:02.480
<v Speaker 1>balance over anything that's not either a flat surface or,

0:25:02.560 --> 0:25:04.720
<v Speaker 1>in the case of robots, that can go up or

0:25:04.720 --> 0:25:07.520
<v Speaker 1>downstairs and stairs. So if you're talking about like a

0:25:07.920 --> 0:25:11.280
<v Speaker 1>sidewalk that is not completely even, that would be enough

0:25:11.320 --> 0:25:13.639
<v Speaker 1>to give a robot trouble because it's going to try

0:25:13.680 --> 0:25:16.520
<v Speaker 1>and put its foot down to where it would believe

0:25:16.800 --> 0:25:18.919
<v Speaker 1>the ground to be, and if the ground is not

0:25:19.040 --> 0:25:23.600
<v Speaker 1>exactly level, then that's yeah, because they can't really catch

0:25:23.680 --> 0:25:27.040
<v Speaker 1>their balance very well. There are robots that can, but

0:25:27.200 --> 0:25:31.159
<v Speaker 1>they are four legged. Yeah, you've seen you've seen the

0:25:31.160 --> 0:25:36.200
<v Speaker 1>Big Dog video. No, I saw the Army. It's very similar.

0:25:36.440 --> 0:25:39.439
<v Speaker 1>Big Dog is essentially a robo mule type development. It

0:25:39.520 --> 0:25:43.439
<v Speaker 1>is a four legged robot that is able to maintain

0:25:43.520 --> 0:25:47.440
<v Speaker 1>its balance even when pushed. And the famous video shows

0:25:47.840 --> 0:25:52.800
<v Speaker 1>the robot dog, the big dog kind of jogging, and

0:25:52.840 --> 0:25:56.200
<v Speaker 1>then a guy just casually lifts his leg up and

0:25:56.520 --> 0:26:00.040
<v Speaker 1>kicks the robot dog like he puts essentially puts a

0:26:00.040 --> 0:26:01.760
<v Speaker 1>bomb of his foot against the side of it and

0:26:01.760 --> 0:26:06.040
<v Speaker 1>pushes really hard, and you see the big dog stumble.

0:26:06.359 --> 0:26:09.520
<v Speaker 1>It actually stumbles and then catches itself and then rights

0:26:09.560 --> 0:26:14.240
<v Speaker 1>itself and continues on. And almost everyone has an emotional

0:26:14.280 --> 0:26:17.480
<v Speaker 1>reaction to this, like, how dare that evil man kick

0:26:17.600 --> 0:26:21.960
<v Speaker 1>that poor, defenseless robot. The robot can't feel anything, but

0:26:22.119 --> 0:26:27.480
<v Speaker 1>that robot is um gasoline powered, so oh yeah, that's right,

0:26:27.560 --> 0:26:30.920
<v Speaker 1>that's one of the big keeping it inside. Yeah, you

0:26:30.960 --> 0:26:33.800
<v Speaker 1>wouldn't want to have one of these indoors. No, you

0:26:33.800 --> 0:26:37.840
<v Speaker 1>don't bring indoor no. And uh and the the pistons

0:26:37.960 --> 0:26:41.399
<v Speaker 1>that allow it to do this are quite loud. You know.

0:26:41.440 --> 0:26:44.480
<v Speaker 1>It's not not a subtle system at all. So a

0:26:44.520 --> 0:26:47.600
<v Speaker 1>lot of work has to go into creating better systems

0:26:47.720 --> 0:26:50.679
<v Speaker 1>for robots to maintain their balance in order for the

0:26:50.720 --> 0:26:53.800
<v Speaker 1>locomotion problem to really be solved. And again, I mean,

0:26:53.840 --> 0:26:56.399
<v Speaker 1>like anybody who's seen short circuit knows that you can

0:26:56.400 --> 0:26:59.159
<v Speaker 1>build a robot like Johnny five with arms in the

0:26:59.280 --> 0:27:02.400
<v Speaker 1>head and a tore so and then like traction um

0:27:03.440 --> 0:27:07.439
<v Speaker 1>shreds uh, and it can go anywhere over terrain, it

0:27:07.480 --> 0:27:10.359
<v Speaker 1>can go up steps. Probably. The thing is is, again

0:27:10.520 --> 0:27:13.639
<v Speaker 1>you have to remember when it comes to humanoid robots,

0:27:13.720 --> 0:27:15.919
<v Speaker 1>you're trying to make the robot that can adapt to

0:27:15.960 --> 0:27:19.160
<v Speaker 1>the human world. So if you had somebody like Johnny

0:27:19.200 --> 0:27:21.960
<v Speaker 1>five as your house butler or something, you you couldn't

0:27:23.280 --> 0:27:25.520
<v Speaker 1>You couldn't have an island in your kitchen, and who

0:27:25.520 --> 0:27:28.359
<v Speaker 1>doesn't love an island in their kitchen. Johnny five couldn't

0:27:28.359 --> 0:27:30.560
<v Speaker 1>maneuver around it because he's too wide. Yeah, you wouldn't

0:27:30.600 --> 0:27:32.760
<v Speaker 1>have You wouldn't be able to have any any space

0:27:32.800 --> 0:27:35.960
<v Speaker 1>that would be narrower than the robot's body. Exactly. That's

0:27:35.960 --> 0:27:39.320
<v Speaker 1>not what you want with humanoid robots. It wouldn't work

0:27:39.359 --> 0:27:42.240
<v Speaker 1>well in my house. I've got a I've got a

0:27:42.240 --> 0:27:47.680
<v Speaker 1>a flat style house where there's three floors. Yeah, it's

0:27:47.760 --> 0:27:51.080
<v Speaker 1>like flat like European flat. Uh, not flat as in

0:27:51.760 --> 0:27:54.280
<v Speaker 1>there's only one level. They're actually three of them, four

0:27:54.320 --> 0:27:56.960
<v Speaker 1>if you count the rooftop Denck, So that counts. It

0:27:57.040 --> 0:27:59.280
<v Speaker 1>makes it. You know, any robot that would not be

0:27:59.320 --> 0:28:02.520
<v Speaker 1>able to navig it stairs easily would definitely have an issue,

0:28:02.560 --> 0:28:04.439
<v Speaker 1>which is the main reason why I don't have a roomba,

0:28:04.480 --> 0:28:05.920
<v Speaker 1>because I don't want to hear the sound of a

0:28:06.000 --> 0:28:10.320
<v Speaker 1>room bag going falling down a flight of stairs. Um.

0:28:10.359 --> 0:28:13.520
<v Speaker 1>But at any rate, Uh, that's a great point. Moving

0:28:13.520 --> 0:28:17.240
<v Speaker 1>on from locomotion, there's also dexterous manipulation. Yeah, I think

0:28:17.320 --> 0:28:20.840
<v Speaker 1>we should. I think that point bears repeating. What we

0:28:20.960 --> 0:28:23.240
<v Speaker 1>just talked about was locomotion. Yeah, and this is you

0:28:23.320 --> 0:28:26.560
<v Speaker 1>and I a couple of non robot experts talking about

0:28:26.600 --> 0:28:30.600
<v Speaker 1>the problem with locomotion. That's just one of myriad challenges

0:28:30.680 --> 0:28:36.080
<v Speaker 1>facing humanoid robotics designers. Yeah, yeah, exactly. It's It's one

0:28:36.119 --> 0:28:40.160
<v Speaker 1>that's easy to point to because it's something that we all,

0:28:40.440 --> 0:28:45.720
<v Speaker 1>you know, end up at least observing or participating in

0:28:45.760 --> 0:28:48.120
<v Speaker 1>all the time. Can we take it for granted? But

0:28:48.160 --> 0:28:49.680
<v Speaker 1>then when you think, okay, well, how do I make

0:28:49.680 --> 0:28:51.880
<v Speaker 1>a machine that does that? You start to realize this

0:28:51.960 --> 0:28:54.240
<v Speaker 1>is you know, even if I have a leg that

0:28:54.320 --> 0:28:58.080
<v Speaker 1>has lots of different degrees of freedom and points of articulation.

0:28:58.840 --> 0:29:00.560
<v Speaker 1>I still have to design the upper part of the

0:29:00.640 --> 0:29:03.480
<v Speaker 1>robots so that it does not unbalanced the lower part,

0:29:03.680 --> 0:29:05.960
<v Speaker 1>and if it does unbalance, that it's able to catch itself.

0:29:06.800 --> 0:29:09.800
<v Speaker 1>You know, some people just describe walking as falling and

0:29:09.840 --> 0:29:14.440
<v Speaker 1>catching yourself over and over again. Yeah, yeah, they're walking

0:29:14.600 --> 0:29:18.800
<v Speaker 1>right now. No, I I described walking as something that

0:29:18.840 --> 0:29:22.280
<v Speaker 1>other people do. I like to keep my walking to

0:29:22.320 --> 0:29:24.480
<v Speaker 1>a minimum. I thought you walked alot, Actually I do.

0:29:24.800 --> 0:29:28.480
<v Speaker 1>I just joke about being lazy. I think moving forward,

0:29:28.880 --> 0:29:32.560
<v Speaker 1>falling down and catching your balance every time it's lurching. Yeah,

0:29:32.600 --> 0:29:37.000
<v Speaker 1>that's well. As an Adam's family fan, I'm okay with that. Yeah,

0:29:37.040 --> 0:29:40.720
<v Speaker 1>but uh, Dexter's manipulation would be the ability to pick

0:29:40.840 --> 0:29:43.960
<v Speaker 1>up and manipulate objects. Now, we're really good at that,

0:29:44.040 --> 0:29:46.320
<v Speaker 1>we humans, You know. We can we can feel an

0:29:46.320 --> 0:29:50.200
<v Speaker 1>object and decide at that point how to handle it,

0:29:50.400 --> 0:29:52.960
<v Speaker 1>even if we've never encountered that kind of object before.

0:29:53.320 --> 0:29:55.680
<v Speaker 1>So if I encounter something I've never seen before, and

0:29:55.760 --> 0:29:58.400
<v Speaker 1>i've I've ascertained it's safe for me to touch it,

0:29:58.960 --> 0:30:00.440
<v Speaker 1>I can touch it. I can feel like, I can

0:30:00.480 --> 0:30:01.920
<v Speaker 1>get a feel for how heavy it is, I can

0:30:02.040 --> 0:30:04.560
<v Speaker 1>get a feel for how delicate it might be, and

0:30:04.560 --> 0:30:07.600
<v Speaker 1>then I can adjust on the fly so that I

0:30:07.640 --> 0:30:10.320
<v Speaker 1>can handle it appropriately. Well, I'm not gonna hurt myself.

0:30:10.320 --> 0:30:13.000
<v Speaker 1>I'm not gonna hurt the object. Robots are not so

0:30:13.040 --> 0:30:17.120
<v Speaker 1>good at that, Yeah, exactly, even if they don't mean

0:30:17.120 --> 0:30:19.760
<v Speaker 1>to right, Yeah, if the robots, If the robots grip

0:30:19.840 --> 0:30:21.960
<v Speaker 1>is too strong, it can break the object. If it's

0:30:21.960 --> 0:30:26.040
<v Speaker 1>too weak, the object slips from its grip and it falls. Uh.

0:30:26.120 --> 0:30:29.240
<v Speaker 1>And it may not be able to distinguish between different types.

0:30:29.320 --> 0:30:33.680
<v Speaker 1>So getting those tactile sensors where a robot can tell

0:30:34.080 --> 0:30:37.280
<v Speaker 1>how tightly it's gripping something and how much pressure a

0:30:37.280 --> 0:30:40.600
<v Speaker 1>particular object can take before you've reached the failure point

0:30:41.240 --> 0:30:42.840
<v Speaker 1>is a big deal. Now, this is also a big

0:30:42.880 --> 0:30:46.320
<v Speaker 1>deal for just making robots safe for humans to be around.

0:30:46.480 --> 0:30:48.400
<v Speaker 1>It is a big deal. You know that the first

0:30:48.840 --> 0:30:53.280
<v Speaker 1>fatality by robot occurred um at the business end of

0:30:53.280 --> 0:30:57.560
<v Speaker 1>a robotic arm in a flat rock, Michigan in nine nine.

0:30:57.560 --> 0:30:59.640
<v Speaker 1>A man named Robert Williams, who's working on a Ford

0:31:00.040 --> 0:31:03.600
<v Speaker 1>line YEA, his robot arm was moving a little slow

0:31:03.680 --> 0:31:06.760
<v Speaker 1>for his taste in getting supplies down, so he climbed

0:31:06.840 --> 0:31:09.560
<v Speaker 1>up to where the supplies were the robot arms suddenly

0:31:09.600 --> 0:31:11.400
<v Speaker 1>sped up and hit him in the head and killed

0:31:11.440 --> 0:31:15.520
<v Speaker 1>him instantly. Wow. Yeah, I've I've had a chance to

0:31:15.720 --> 0:31:18.640
<v Speaker 1>see some of these industrial robots. Uh. And I would

0:31:18.640 --> 0:31:22.200
<v Speaker 1>say up close, but you can't because because of instances

0:31:22.280 --> 0:31:26.760
<v Speaker 1>like that, industrial robots usually have lots of of safety

0:31:26.800 --> 0:31:30.960
<v Speaker 1>barriers around them because it's not safe to be near

0:31:31.280 --> 0:31:35.920
<v Speaker 1>those robots when they're in operation. They they can't react exactly.

0:31:36.000 --> 0:31:37.800
<v Speaker 1>So you leave it up to the humans to stay

0:31:37.840 --> 0:31:39.960
<v Speaker 1>away from the robots because the road we haven't gotten

0:31:39.960 --> 0:31:42.280
<v Speaker 1>to the point where the robots no, did not crush

0:31:42.320 --> 0:31:43.960
<v Speaker 1>you or hit you in the head. Right, Yeah, I

0:31:44.000 --> 0:31:45.920
<v Speaker 1>got the robots fall. I'm looking forward to that day

0:31:45.920 --> 0:31:48.800
<v Speaker 1>when they figure out not to crush me. Yes, it's

0:31:48.840 --> 0:31:52.040
<v Speaker 1>been pretty lousy days so far. Uh. Yeah. When I

0:31:52.120 --> 0:31:56.120
<v Speaker 1>when I toured the Georgia Tech Robotics Lab, they talked

0:31:56.120 --> 0:31:59.160
<v Speaker 1>specifically about this. This is a real challenge having robots

0:31:59.200 --> 0:32:01.800
<v Speaker 1>recognize and react in a way that's going to be

0:32:02.200 --> 0:32:06.520
<v Speaker 1>safe around humans. And uh, but dexterous manipulation is only

0:32:06.600 --> 0:32:08.920
<v Speaker 1>that's only a part of dextrous manipulation. Obviously, the rest

0:32:08.960 --> 0:32:12.280
<v Speaker 1>of it is again that object recognition and handling so

0:32:12.320 --> 0:32:14.120
<v Speaker 1>that you're not destroying whatever it is you're trying to

0:32:14.160 --> 0:32:19.280
<v Speaker 1>pick up. Um. Another big challenge in designing robots in general,

0:32:19.600 --> 0:32:22.760
<v Speaker 1>not just humanoid robots, is just the the perception, the

0:32:22.800 --> 0:32:27.520
<v Speaker 1>sensory perception of the robot. Yeah, so you know, whether

0:32:27.680 --> 0:32:31.720
<v Speaker 1>it's optical systems like actual cameras in the place of eyes,

0:32:31.880 --> 0:32:34.760
<v Speaker 1>or infrared so that you can see even in low

0:32:34.840 --> 0:32:38.800
<v Speaker 1>light situations, radar, light ar. I mean, there's tons of

0:32:38.800 --> 0:32:43.760
<v Speaker 1>different ways of sensing. Yep, there's uh, there's you know

0:32:43.800 --> 0:32:45.960
<v Speaker 1>sensing obviously, it's not just site. Then you have to

0:32:46.040 --> 0:32:49.240
<v Speaker 1>have the sound. That's a really tricky one actually, because

0:32:49.680 --> 0:32:53.040
<v Speaker 1>for us humans, we we can kind of zero in

0:32:53.160 --> 0:32:55.800
<v Speaker 1>on what's important, right, So if we're if you and

0:32:55.840 --> 0:32:58.480
<v Speaker 1>I were at a party, which you know, someone made

0:32:58.520 --> 0:33:01.560
<v Speaker 1>a mistake and invited me, we could have a conversation

0:33:01.880 --> 0:33:05.080
<v Speaker 1>and be able to carry that conversation on even within

0:33:05.120 --> 0:33:08.160
<v Speaker 1>the context of a big, bustling party because we can

0:33:08.200 --> 0:33:10.360
<v Speaker 1>focus on what the other person is saying. It's called

0:33:10.560 --> 0:33:14.680
<v Speaker 1>latent inhibition. Yeah, so when you don't have that, that schizophrenia, Yeah,

0:33:14.720 --> 0:33:17.920
<v Speaker 1>you you can't separate the the signal from the noise

0:33:18.040 --> 0:33:21.640
<v Speaker 1>and everything either. Becomes noise or everything becomes signal. Um.

0:33:21.720 --> 0:33:25.840
<v Speaker 1>So for a robot that might, for example, require verbal commands,

0:33:26.480 --> 0:33:28.920
<v Speaker 1>that's really tricky. What if you have the television on

0:33:29.440 --> 0:33:34.280
<v Speaker 1>and someone's saying something on TV and uh, you are

0:33:34.320 --> 0:33:36.440
<v Speaker 1>trying to get your robot to do something, and it's

0:33:36.440 --> 0:33:38.400
<v Speaker 1>not quite sure what to do because it's hearing these

0:33:38.400 --> 0:33:42.200
<v Speaker 1>different commands and isn't sure who to obey you the

0:33:42.320 --> 0:33:45.680
<v Speaker 1>person pitching the bacon bowl right right exactly. Let's say

0:33:45.680 --> 0:33:47.240
<v Speaker 1>that you are, you know, trying to get some help

0:33:47.280 --> 0:33:50.240
<v Speaker 1>in the kitchen, but it just keeps hearing uh C

0:33:50.480 --> 0:33:52.720
<v Speaker 1>s I Miami and say kill Billy. And then next

0:33:52.720 --> 0:33:54.920
<v Speaker 1>thing you know, you're like, you're just desperately trying to

0:33:54.960 --> 0:33:59.240
<v Speaker 1>kill the robot. Please don't kill Billy. Um. Yeah, well

0:33:59.280 --> 0:34:02.160
<v Speaker 1>that's a silly example. It's a real problem. Uh. And

0:34:02.200 --> 0:34:06.000
<v Speaker 1>then there's the tactile the responses, the tactile sensors, like

0:34:06.040 --> 0:34:08.800
<v Speaker 1>the making sure you don't crush something that's delicate that

0:34:09.200 --> 0:34:13.480
<v Speaker 1>falls into perception. Smell can also fall into perception. You

0:34:13.800 --> 0:34:16.720
<v Speaker 1>might want to have humanoid robots that work in areas

0:34:16.719 --> 0:34:20.880
<v Speaker 1>where the humanoid robot can alert humans to the presence

0:34:20.920 --> 0:34:23.440
<v Speaker 1>of things that might be toxic. You know, this isn't

0:34:23.480 --> 0:34:27.040
<v Speaker 1>necessarily just the robot Butler we're talking about. This could

0:34:27.040 --> 0:34:31.279
<v Speaker 1>be robots that work in areas that might be dangerous

0:34:31.320 --> 0:34:34.160
<v Speaker 1>for humans, and that would be an important element too.

0:34:34.640 --> 0:34:37.000
<v Speaker 1>It's not a robot, but NASA already has a sensor

0:34:37.239 --> 0:34:40.960
<v Speaker 1>that senses things like ammonia or smoke. It can actually

0:34:41.200 --> 0:34:46.400
<v Speaker 1>sense smoke artificially, smell smoke before the fire has actually

0:34:46.520 --> 0:34:51.759
<v Speaker 1>started ignited. Interesting because you know it's such a dangerous proposition, right, yes,

0:34:51.840 --> 0:34:55.720
<v Speaker 1>clearly for for anything NASA related. But they can also

0:34:55.800 --> 0:34:58.080
<v Speaker 1>sense ammonia because you know a lot of the refrigeration

0:34:58.160 --> 0:35:01.680
<v Speaker 1>systems run on ammonia and you can't have a pneumonia

0:35:01.760 --> 0:35:05.279
<v Speaker 1>leak on the space basis, right right, And I mean

0:35:05.280 --> 0:35:07.200
<v Speaker 1>the same thing is true for I mean I've heard

0:35:07.200 --> 0:35:11.480
<v Speaker 1>of of robots that are used in in mining operations,

0:35:12.280 --> 0:35:14.239
<v Speaker 1>which you know, if you come upon a pocket of

0:35:14.280 --> 0:35:16.759
<v Speaker 1>natural gas that can be a real danger that sort

0:35:16.760 --> 0:35:19.799
<v Speaker 1>of stuff. Then you've got the the back end of

0:35:19.840 --> 0:35:24.560
<v Speaker 1>the sensory perception. That's where you have the actual interpretation

0:35:24.680 --> 0:35:27.279
<v Speaker 1>of the data. Where that's the big one. That's huge,

0:35:27.320 --> 0:35:29.120
<v Speaker 1>because not only do you need to have a robot

0:35:29.200 --> 0:35:32.279
<v Speaker 1>that can have that has binocular vision, so it has

0:35:32.320 --> 0:35:35.480
<v Speaker 1>a depth of field. Right. Um, it also has to

0:35:35.560 --> 0:35:39.719
<v Speaker 1>know what it's doing, what what the information means, and

0:35:39.760 --> 0:35:44.160
<v Speaker 1>how to apply it to adapted changes, right right. So,

0:35:44.160 --> 0:35:47.840
<v Speaker 1>so if I were to show you, Josh a series

0:35:47.880 --> 0:35:50.960
<v Speaker 1>of pictures of various types of dogs, you would very

0:35:51.000 --> 0:35:54.719
<v Speaker 1>quickly pick up on the the things that mean mean

0:35:54.840 --> 0:35:58.360
<v Speaker 1>dog like. You would understand the concept of dog pretty quickly.

0:35:59.239 --> 0:36:03.239
<v Speaker 1>Robots and various other computers machines they have a lot

0:36:03.320 --> 0:36:06.360
<v Speaker 1>harder problem with this. If whatever they're looking at doesn't

0:36:06.360 --> 0:36:10.960
<v Speaker 1>exactly match the parameters of the example, it's very difficult

0:36:11.000 --> 0:36:14.040
<v Speaker 1>for a machine to extrapolate and say, oh, this other

0:36:14.080 --> 0:36:16.759
<v Speaker 1>thing I'm looking at relates to this thing I know,

0:36:17.000 --> 0:36:21.640
<v Speaker 1>even though the two examples don't aren't identical. So the

0:36:21.680 --> 0:36:24.000
<v Speaker 1>same thing could be true for any object. Let's let's

0:36:24.000 --> 0:36:26.880
<v Speaker 1>just use a coffee mug. And let's say that you

0:36:27.040 --> 0:36:31.000
<v Speaker 1>use a a plain white coffee mug of average size

0:36:31.560 --> 0:36:35.160
<v Speaker 1>as h the example for the robot, and then the

0:36:35.239 --> 0:36:39.520
<v Speaker 1>robot encounters a larger blue coffee mug and the handles

0:36:39.560 --> 0:36:42.640
<v Speaker 1>turned the other way. The robot might be completely befuddled

0:36:42.719 --> 0:36:46.120
<v Speaker 1>by this. So this is a real problem in artificial

0:36:46.160 --> 0:36:51.040
<v Speaker 1>intelligence is object identification, so that a robot knows what

0:36:51.080 --> 0:36:54.520
<v Speaker 1>it's looking at and also understands the context that that

0:36:54.600 --> 0:36:59.160
<v Speaker 1>object fills within the environment. So it's not just that, oh,

0:36:59.239 --> 0:37:02.200
<v Speaker 1>that's a mug, it's oh, that's a mug. A mug

0:37:02.239 --> 0:37:04.560
<v Speaker 1>is a container. I can put things into that mug.

0:37:04.719 --> 0:37:06.200
<v Speaker 1>Here are the things that can go in the mug.

0:37:06.239 --> 0:37:08.080
<v Speaker 1>You are the things that absolutely should not not go

0:37:08.160 --> 0:37:10.480
<v Speaker 1>in the mug, like Billy. Those are the kind of

0:37:10.520 --> 0:37:12.799
<v Speaker 1>things that yeah, Billy, well, you know we're gonna need

0:37:12.840 --> 0:37:16.960
<v Speaker 1>another Billy. Um, we'll make a robot, which in which

0:37:17.000 --> 0:37:19.120
<v Speaker 1>case you can just turn those suckers out right mass

0:37:19.120 --> 0:37:23.280
<v Speaker 1>production of Billy. But yeah, artificial intelligence an enormous problem.

0:37:23.280 --> 0:37:25.359
<v Speaker 1>And that, of course is not just with robotics. That's

0:37:25.520 --> 0:37:28.959
<v Speaker 1>that's a field unto itself, and robotics is just one

0:37:29.000 --> 0:37:33.880
<v Speaker 1>branch that relies upon artificial intelligence. And it's from what

0:37:34.000 --> 0:37:36.560
<v Speaker 1>I came across, it looked like just out of the gate,

0:37:36.680 --> 0:37:40.000
<v Speaker 1>I guess that was said a university they tried to

0:37:40.040 --> 0:37:43.240
<v Speaker 1>build a robot that was just like high functioning, yeah,

0:37:43.320 --> 0:37:47.520
<v Speaker 1>and they realized, like, we have no idea what we're doing. Yeah,

0:37:47.560 --> 0:37:51.120
<v Speaker 1>that that Waybot one was able to converse at the

0:37:51.239 --> 0:37:54.799
<v Speaker 1>level or was able to have a a a cognitive

0:37:54.800 --> 0:37:58.840
<v Speaker 1>function equivalent to a one and a half year old person,

0:37:58.960 --> 0:38:02.080
<v Speaker 1>which I have to when you're talking right out of

0:38:02.080 --> 0:38:05.799
<v Speaker 1>the gate. Very impressive, Very impressive because we're not that

0:38:05.880 --> 0:38:09.760
<v Speaker 1>much further along now. But what they found from making

0:38:09.760 --> 0:38:13.680
<v Speaker 1>way about one was, Okay, this is way more difficult

0:38:13.719 --> 0:38:17.799
<v Speaker 1>than we thought. You can't just program every kind of

0:38:17.840 --> 0:38:20.760
<v Speaker 1>coffee cup in the world, and even if you could,

0:38:21.239 --> 0:38:23.640
<v Speaker 1>then you also have to program every kind of table

0:38:23.920 --> 0:38:26.399
<v Speaker 1>and every kind of light. And we need to come

0:38:26.440 --> 0:38:29.680
<v Speaker 1>at this in a different way. And so they realized,

0:38:29.800 --> 0:38:34.520
<v Speaker 1>number one, humans are extraordinarily more complex than we thought before.

0:38:35.320 --> 0:38:38.400
<v Speaker 1>And then number two, humans make a pretty good model

0:38:38.520 --> 0:38:41.719
<v Speaker 1>for a humanoid robot in the realm of things like

0:38:41.800 --> 0:38:48.200
<v Speaker 1>perception and UM information systems and UH learning. So they

0:38:48.239 --> 0:38:54.000
<v Speaker 1>went to these different these different disciplines like neurobiology, neurology,

0:38:54.120 --> 0:38:57.839
<v Speaker 1>UM psychology, and they said, what can we learn from

0:38:57.880 --> 0:39:00.279
<v Speaker 1>you guys about how humans do this that we can

0:39:00.320 --> 0:39:04.880
<v Speaker 1>apply to robots. And since they started taking those steps,

0:39:04.920 --> 0:39:09.359
<v Speaker 1>it seems like, uh, humanoid robotics has gotten it's it's

0:39:09.360 --> 0:39:12.200
<v Speaker 1>footing a little more. Yeah, and we're seeing so many

0:39:12.239 --> 0:39:15.560
<v Speaker 1>developments in other areas of a I that are really promising.

0:39:15.880 --> 0:39:20.000
<v Speaker 1>I always bring up IBMS Watson because it's natural language

0:39:20.040 --> 0:39:24.960
<v Speaker 1>recognition was phenomenal, the ability for it to parse clues

0:39:25.120 --> 0:39:27.919
<v Speaker 1>in Jeopardy and come up with the appropriate answer, knowing

0:39:27.960 --> 0:39:31.759
<v Speaker 1>that Jeopardy those clues are not always straightforward. Uh. And

0:39:31.840 --> 0:39:36.280
<v Speaker 1>it again illustrates the complexity that we humans navigate without

0:39:36.400 --> 0:39:39.719
<v Speaker 1>much trouble because this is the world we've created. But

0:39:39.840 --> 0:39:42.640
<v Speaker 1>then we realize if we make a machine that's mostly

0:39:42.760 --> 0:39:45.319
<v Speaker 1>when you get down to it based on yes or no,

0:39:45.920 --> 0:39:48.640
<v Speaker 1>a one or a zero, true or false, and you're

0:39:48.640 --> 0:39:51.440
<v Speaker 1>trying to build complex behaviors off of something that is

0:39:51.480 --> 0:39:54.720
<v Speaker 1>incredibly simple. When you boil it down to its basic element,

0:39:55.239 --> 0:39:57.319
<v Speaker 1>that's where you're like, oh, this is this is gonna

0:39:57.360 --> 0:39:59.759
<v Speaker 1>require a lot of work. I mean, IBMS Watson was

0:39:59.800 --> 0:40:05.359
<v Speaker 1>an enormous machine with with thousands of microprocessors just so

0:40:05.440 --> 0:40:08.719
<v Speaker 1>it could be able to play Jeopardy. That's a very

0:40:08.760 --> 0:40:12.520
<v Speaker 1>specific function too. So creating a robot that is able

0:40:12.560 --> 0:40:16.480
<v Speaker 1>to navigate and interact with a human environment and be

0:40:16.520 --> 0:40:18.600
<v Speaker 1>able to interact with humans in a way that makes

0:40:18.640 --> 0:40:21.440
<v Speaker 1>sense is a big challenge. Also, just the way that

0:40:21.719 --> 0:40:25.440
<v Speaker 1>a robot would socialize with humans is a huge challenge.

0:40:25.480 --> 0:40:27.360
<v Speaker 1>How do how do you make a robot that is

0:40:27.400 --> 0:40:33.319
<v Speaker 1>able to respond to commands and cues in an appropriate way? Uh?

0:40:33.400 --> 0:40:35.919
<v Speaker 1>An appropriate way is the key there, because there are

0:40:36.120 --> 0:40:38.520
<v Speaker 1>humans are pretty complex and we can be very subtle

0:40:38.600 --> 0:40:43.600
<v Speaker 1>in many ways. Yeah, we speak unplainly, we use sarcasm,

0:40:43.640 --> 0:40:47.799
<v Speaker 1>we we uh yeah, we use a lot of gestures

0:40:48.600 --> 0:40:51.080
<v Speaker 1>rather than just words. Yep. There's a lot that goes

0:40:51.120 --> 0:40:54.480
<v Speaker 1>into human communication that, if you are a human is

0:40:54.520 --> 0:40:56.879
<v Speaker 1>pretty much natural, especially I mean if you're a human

0:40:56.920 --> 0:40:59.680
<v Speaker 1>within that particular culture and you're familiar with that culture,

0:40:59.719 --> 0:41:03.680
<v Speaker 1>because anyone who has traveled extensively knows there are cultures

0:41:03.680 --> 0:41:07.520
<v Speaker 1>where things that would be commonplace at home are very

0:41:07.520 --> 0:41:09.560
<v Speaker 1>different in the place where you happen to be, right then,

0:41:10.040 --> 0:41:13.000
<v Speaker 1>and it may be that something that is completely innocent

0:41:13.040 --> 0:41:17.120
<v Speaker 1>at home is an uh, offensive gesture in the place

0:41:17.120 --> 0:41:20.240
<v Speaker 1>where you are. Now, we'll imagine a robot that is

0:41:20.600 --> 0:41:24.919
<v Speaker 1>not programmed to handle these kind of subtle uh communication

0:41:25.040 --> 0:41:32.200
<v Speaker 1>methods and exact Yeah, he doesn't know, he's just he's

0:41:32.239 --> 0:41:35.719
<v Speaker 1>just doing as he was programmed. But even even beyond that,

0:41:36.000 --> 0:41:38.279
<v Speaker 1>something that you brought up in our research when we

0:41:38.280 --> 0:41:42.799
<v Speaker 1>were planning this was the Uncanny Valley. It's a big one. Yeah.

0:41:42.880 --> 0:41:45.000
<v Speaker 1>I've never read that paper before, and I'm glad I did.

0:41:45.360 --> 0:41:48.080
<v Speaker 1>It's really interesting, right, Yeah, So the Uncanny Valley. For

0:41:48.080 --> 0:41:50.759
<v Speaker 1>those who are not familiar with the term, uh, it's

0:41:50.840 --> 0:41:55.920
<v Speaker 1>it describes when we start to approach artificial humans that

0:41:55.960 --> 0:41:59.759
<v Speaker 1>look almost but not quite like real humans. And and

0:41:59.800 --> 0:42:02.640
<v Speaker 1>by look, I don't necessarily just mean the physical appearance.

0:42:02.680 --> 0:42:06.239
<v Speaker 1>I also mean their behaviors, their movements. So if you

0:42:06.280 --> 0:42:09.120
<v Speaker 1>are if you were to look out and see a

0:42:09.480 --> 0:42:12.080
<v Speaker 1>figure that from the from a distance looked like it

0:42:12.120 --> 0:42:14.520
<v Speaker 1>was a human figure, and you start walking towards it,

0:42:14.560 --> 0:42:16.520
<v Speaker 1>just thinking this is another person, and then they start

0:42:16.560 --> 0:42:19.840
<v Speaker 1>moving in a very herky jerky motion, very mechanical motion,

0:42:20.440 --> 0:42:24.719
<v Speaker 1>then you're likely going to have a negative emotional response.

0:42:24.920 --> 0:42:29.839
<v Speaker 1>Um often, revulsion is one of the words used very frequentness. Yeah,

0:42:30.960 --> 0:42:34.120
<v Speaker 1>I mean I remember the C G I movies that

0:42:34.160 --> 0:42:38.280
<v Speaker 1>would that were almost to the point of photo realism,

0:42:38.280 --> 0:42:41.440
<v Speaker 1>where they look like people for the most part, but

0:42:41.480 --> 0:42:43.879
<v Speaker 1>there's not something is just not quite right with the eye.

0:42:45.960 --> 0:42:51.280
<v Speaker 1>There's a good example. And polar express polar expresses they

0:42:51.840 --> 0:42:54.160
<v Speaker 1>do very well because of the Uncanny Valley. That's what

0:42:54.200 --> 0:42:56.120
<v Speaker 1>they blame it on. Yeah, and the same thing applies

0:42:56.160 --> 0:42:59.239
<v Speaker 1>to robots. So in fact, I saw a robot that

0:43:00.120 --> 0:43:02.759
<v Speaker 1>was really disturbing to me. It was really as an

0:43:02.960 --> 0:43:07.160
<v Speaker 1>um art exhibit, an installation, and um it was a

0:43:07.239 --> 0:43:12.040
<v Speaker 1>robot of Confucius in a cell filled with monkeys, and

0:43:12.320 --> 0:43:15.959
<v Speaker 1>uh they're live monkeys, real monkeys, and the robot would

0:43:15.960 --> 0:43:21.440
<v Speaker 1>just thrash around wildly. It was It was the stuff

0:43:21.440 --> 0:43:25.160
<v Speaker 1>of nightmares. I'll show it to you after the show. Yeah.

0:43:25.280 --> 0:43:28.439
<v Speaker 1>So these are all big challenges and some of them

0:43:28.480 --> 0:43:30.960
<v Speaker 1>are going to be harder for us than others. And

0:43:31.000 --> 0:43:34.759
<v Speaker 1>maybe that the engineering challenges of locomotion are solved well

0:43:34.840 --> 0:43:37.480
<v Speaker 1>before we ever get a real grip on all the

0:43:37.560 --> 0:43:40.240
<v Speaker 1>artificial intelligence problems. Or it could be the other way around.

0:43:40.680 --> 0:43:45.080
<v Speaker 1>Uh we but it is multidisciplinary. It's a big, big issue.

0:43:45.800 --> 0:43:49.240
<v Speaker 1>So there are some people who argue for humanoid robots,

0:43:49.239 --> 0:43:54.760
<v Speaker 1>there are people who argue against humanoid robots. Um. I think.

0:43:55.000 --> 0:43:58.320
<v Speaker 1>I think research and development with humanoid robots is important

0:43:58.760 --> 0:44:02.120
<v Speaker 1>because by having the goal of creating a humanoid robot,

0:44:02.440 --> 0:44:05.680
<v Speaker 1>you drive the research and development process. You have a

0:44:05.719 --> 0:44:08.560
<v Speaker 1>specific goal in mind, and in order to achieve that goal,

0:44:08.760 --> 0:44:11.160
<v Speaker 1>you know what sort of problems you have to solve.

0:44:11.640 --> 0:44:14.800
<v Speaker 1>And even if we never enter a future where humanoid

0:44:14.840 --> 0:44:19.960
<v Speaker 1>robots are a common thing, even if they are mostly

0:44:20.080 --> 0:44:24.840
<v Speaker 1>used as something in an exhibition or uh for pr

0:44:24.920 --> 0:44:27.759
<v Speaker 1>or whatever, even if that's the only use for them,

0:44:27.800 --> 0:44:31.279
<v Speaker 1>we're going to benefit from the research and development of

0:44:31.360 --> 0:44:35.279
<v Speaker 1>making that possible in ways we can't anticipate. Well. Yeah,

0:44:35.320 --> 0:44:38.480
<v Speaker 1>and then the more we get into humanoid robotics, the

0:44:38.520 --> 0:44:42.920
<v Speaker 1>more we understand humans, which is pretty much the only

0:44:43.239 --> 0:44:47.040
<v Speaker 1>argument I've seen that stands up in favor of doing

0:44:47.120 --> 0:44:50.560
<v Speaker 1>humanoid robots. Yeah, because it's it's expensive, and it's hard.

0:44:50.880 --> 0:44:53.839
<v Speaker 1>I mean, it's it's really a difficult problem, and it's

0:44:54.120 --> 0:44:56.399
<v Speaker 1>and and to build a humanoid robot something that is

0:44:56.800 --> 0:45:01.200
<v Speaker 1>capable of being a general purpose robot, it's you know,

0:45:01.360 --> 0:45:03.560
<v Speaker 1>it's hard to anticipate all the things you're going to

0:45:03.640 --> 0:45:05.920
<v Speaker 1>need to be able to do. If you're talking general

0:45:05.920 --> 0:45:09.200
<v Speaker 1>purpose and adaptable, that's really tough. I mean, we didn't

0:45:09.200 --> 0:45:12.120
<v Speaker 1>even talk about the adaptability problem very much. We talked

0:45:12.120 --> 0:45:14.560
<v Speaker 1>a little bit about a robot capable of learning from

0:45:14.640 --> 0:45:18.319
<v Speaker 1>other people, which I find fascinating. Um you know, that's

0:45:18.360 --> 0:45:22.520
<v Speaker 1>one way. Just watching humans and then mimicking humans, that's

0:45:22.600 --> 0:45:27.680
<v Speaker 1>one way of robot learning. There's also, um the way

0:45:27.680 --> 0:45:31.320
<v Speaker 1>where it's controlled through virtual reality by human and it

0:45:31.440 --> 0:45:34.279
<v Speaker 1>just kind of logs the motions the humans making it do.

0:45:34.520 --> 0:45:36.960
<v Speaker 1>Like there's a NASA has a robot not that learns

0:45:37.040 --> 0:45:41.319
<v Speaker 1>like that. So I think I think there's a lot

0:45:41.360 --> 0:45:46.399
<v Speaker 1>of benefit to investigating artificial intelligence. Like you want your

0:45:46.480 --> 0:45:49.320
<v Speaker 1>nest at home to learn so you don't have to

0:45:49.400 --> 0:45:53.680
<v Speaker 1>keep adjusting the thermostat that counts. That's the that's machine learning.

0:45:54.520 --> 0:45:59.440
<v Speaker 1>To me. The big argument against having humanoid robots, and

0:45:59.480 --> 0:46:03.759
<v Speaker 1>the quag meyer that seems to begin, is sociability. That

0:46:03.840 --> 0:46:07.080
<v Speaker 1>seems to be the whole reason anybody wants a humanoid robot,

0:46:07.120 --> 0:46:10.640
<v Speaker 1>because you can make you know, you have a ruma vacuums,

0:46:10.840 --> 0:46:14.280
<v Speaker 1>you can make a driverless car um As Olivia Solan

0:46:14.400 --> 0:46:18.200
<v Speaker 1>wrote and wired a couple of years back. Um, you know,

0:46:18.320 --> 0:46:20.160
<v Speaker 1>why why do you have to make a robot butler

0:46:20.200 --> 0:46:22.680
<v Speaker 1>to park the car? Just make a car that parks itself.

0:46:23.280 --> 0:46:27.000
<v Speaker 1>And it seems like that's where we're going right now. Um.

0:46:27.360 --> 0:46:30.799
<v Speaker 1>So when you add this extra layer of humanoid, you

0:46:30.880 --> 0:46:35.920
<v Speaker 1>add all of this additional problems and troubles and redundancies,

0:46:35.960 --> 0:46:38.560
<v Speaker 1>like like, for example, if you're gonna make a humanoid

0:46:38.600 --> 0:46:42.560
<v Speaker 1>robot that throws a ball, this this humanoid robot to

0:46:42.640 --> 0:46:46.879
<v Speaker 1>appear real needs to have a little bit of follow through.

0:46:48.120 --> 0:46:50.320
<v Speaker 1>But as far as the robot, the machine is concerned,

0:46:50.360 --> 0:46:53.200
<v Speaker 1>it can throw the ball and just stop right where

0:46:53.200 --> 0:46:55.319
<v Speaker 1>the releases. It doesn't need to go anymore. But it's

0:46:55.320 --> 0:46:58.279
<v Speaker 1>gonna look weird and robotic if you want to get

0:46:58.320 --> 0:47:01.520
<v Speaker 1>past that uncanny valley, which is an other problem, um,

0:47:01.600 --> 0:47:05.200
<v Speaker 1>the thing has to have followed through. That's totally unnecessary.

0:47:05.440 --> 0:47:07.480
<v Speaker 1>You can make a robot that can throw a ball

0:47:07.840 --> 0:47:10.759
<v Speaker 1>and the goal is to throw the ball. You don't

0:47:10.840 --> 0:47:13.480
<v Speaker 1>have to add the follow through, but you do when

0:47:13.480 --> 0:47:17.200
<v Speaker 1>you're making it a sociable humanoid robots. So it seems

0:47:17.200 --> 0:47:20.680
<v Speaker 1>like that's the path that will lead everyone is straight

0:47:20.800 --> 0:47:23.720
<v Speaker 1>that I don't get. Yeah. I I like the idea

0:47:23.760 --> 0:47:27.880
<v Speaker 1>of designing robots for specific tasks because you can really

0:47:27.920 --> 0:47:30.640
<v Speaker 1>focus on getting the task done. So there I see

0:47:30.640 --> 0:47:33.480
<v Speaker 1>this as two separate branches. I see the branch of

0:47:33.520 --> 0:47:37.120
<v Speaker 1>developing the humanoid robot as pushing forward a lot of

0:47:37.160 --> 0:47:41.440
<v Speaker 1>different areas of thought. That could be applied in multiple disciplines,

0:47:41.880 --> 0:47:45.280
<v Speaker 1>so that will benefit from that. I see the development

0:47:45.280 --> 0:47:49.360
<v Speaker 1>of robots as unitaskers as being important to actually handle

0:47:49.360 --> 0:47:53.080
<v Speaker 1>the jobs that are the three D s. That's dirty, difficult,

0:47:53.120 --> 0:47:57.359
<v Speaker 1>and dangerous, all right, So those are the jobs that

0:47:58.040 --> 0:48:01.560
<v Speaker 1>maybe they revolve a lot of repetition, which can cause

0:48:01.640 --> 0:48:04.920
<v Speaker 1>injury over time, or it can lead to mistakes because

0:48:05.000 --> 0:48:07.080
<v Speaker 1>you've done the same task so many times that you

0:48:07.080 --> 0:48:11.360
<v Speaker 1>start to kind of zone out. Robots will never zone out. Um.

0:48:11.400 --> 0:48:14.640
<v Speaker 1>If it's a dirty job where it's something that's undesirable

0:48:14.640 --> 0:48:17.799
<v Speaker 1>by people, robots don't care. They'll do that. Or if

0:48:17.840 --> 0:48:21.520
<v Speaker 1>it's dangerous, if it's bomb disposal, or if it's something

0:48:21.560 --> 0:48:25.840
<v Speaker 1>like the Mars curiosity rover. These are dangerous jobs that

0:48:25.880 --> 0:48:29.359
<v Speaker 1>you wouldn't necessarily want to put a human into if

0:48:29.440 --> 0:48:33.240
<v Speaker 1>you had the alternative. So all of these things, those

0:48:33.280 --> 0:48:36.360
<v Speaker 1>that's where robots really makes sense to me UM to

0:48:36.360 --> 0:48:38.480
<v Speaker 1>to go to the places that are difficult for us

0:48:38.480 --> 0:48:41.279
<v Speaker 1>to go to. Maybe that's you know, deep sea exploration,

0:48:41.360 --> 0:48:45.080
<v Speaker 1>space exploration, that kind of thing, or to do jobs

0:48:45.120 --> 0:48:47.720
<v Speaker 1>that might be dangerous, having a first respond to robot

0:48:47.800 --> 0:48:51.040
<v Speaker 1>to survey a scene, to make sure that a structure

0:48:51.160 --> 0:48:54.360
<v Speaker 1>is remaining uh solid while maybe there was a fire

0:48:54.440 --> 0:48:57.319
<v Speaker 1>and it has to make sure that the it's it's

0:48:57.360 --> 0:49:01.200
<v Speaker 1>not going to collapse in on rescue mission that kind

0:49:01.239 --> 0:49:03.799
<v Speaker 1>of stuff. Um, but do you need those things to

0:49:03.960 --> 0:49:06.000
<v Speaker 1>be to come out and be able to tell a

0:49:06.080 --> 0:49:09.680
<v Speaker 1>joke or something? And most of them don't need to

0:49:09.719 --> 0:49:14.240
<v Speaker 1>be any sort of humanoid form factor either, which greatly

0:49:14.280 --> 0:49:17.680
<v Speaker 1>simplifies the actual development of the robot and thus cuts

0:49:17.719 --> 0:49:20.200
<v Speaker 1>down on the cost, so you can you can achieve

0:49:20.239 --> 0:49:23.520
<v Speaker 1>the task you're trying to achieve for less money than

0:49:23.560 --> 0:49:26.160
<v Speaker 1>if you are trying to build this this general purpose machine.

0:49:26.200 --> 0:49:33.160
<v Speaker 1>So then we come to this ultimate question, why what's

0:49:33.200 --> 0:49:36.279
<v Speaker 1>the purpose of humanoid robot? Well, I think the I

0:49:36.320 --> 0:49:39.920
<v Speaker 1>think the purposes too fold. One is again to have

0:49:40.080 --> 0:49:45.719
<v Speaker 1>that specific goal in mind that allows you to define

0:49:45.920 --> 0:49:49.360
<v Speaker 1>where your in point is. I believe that when you

0:49:49.440 --> 0:49:52.640
<v Speaker 1>have that defined in goal, it makes it easier for

0:49:52.680 --> 0:49:54.960
<v Speaker 1>you to build on the things you need to achieve it,

0:49:54.960 --> 0:49:57.480
<v Speaker 1>as opposed to having an open goal where it's just

0:49:57.680 --> 0:50:01.160
<v Speaker 1>I want to approve improve a I that's so open

0:50:01.200 --> 0:50:03.120
<v Speaker 1>that it's hard to get direction from it. But if

0:50:03.160 --> 0:50:06.120
<v Speaker 1>you think I need to have an artificial intelligence that

0:50:06.120 --> 0:50:09.840
<v Speaker 1>will allow a robot to Uh, here's a great example.

0:50:09.880 --> 0:50:12.160
<v Speaker 1>Let's say that the challenge is to have a robot

0:50:12.880 --> 0:50:16.640
<v Speaker 1>leave a room, go down a flight of stairs, leave

0:50:16.680 --> 0:50:20.080
<v Speaker 1>a building, get into a vehicle, drive the vehicle to

0:50:20.080 --> 0:50:23.640
<v Speaker 1>a different location, get out of the vehicle, go into

0:50:23.680 --> 0:50:27.240
<v Speaker 1>another building, break through a wall, and put out a fire.

0:50:27.840 --> 0:50:32.880
<v Speaker 1>That's a real, actual robotics challenge challenge. Yeah. Dr Henrik

0:50:32.960 --> 0:50:35.439
<v Speaker 1>Kristensen told me about this. Is I mean, it really

0:50:35.480 --> 0:50:37.719
<v Speaker 1>is a challenge. It's not just a real challenge. It's

0:50:37.719 --> 0:50:42.120
<v Speaker 1>a real challenge. It's like a DARPA challenge. So it's

0:50:42.200 --> 0:50:44.680
<v Speaker 1>a uh he was telling me about this, and you

0:50:44.719 --> 0:50:46.600
<v Speaker 1>start to think about all the things that have to

0:50:46.640 --> 0:50:48.160
<v Speaker 1>fall in line for you to be able to achieve

0:50:48.200 --> 0:50:50.279
<v Speaker 1>the skull. That is a valuable thing. But I think

0:50:50.320 --> 0:50:52.360
<v Speaker 1>the other thing is the social aspect. I think that

0:50:52.400 --> 0:50:55.879
<v Speaker 1>there are people who would benefit from a robot that

0:50:56.120 --> 0:50:59.759
<v Speaker 1>is able to give some form of social comfort. Let's

0:50:59.760 --> 0:51:04.239
<v Speaker 1>say for the elderly who need to have some form

0:51:04.280 --> 0:51:08.080
<v Speaker 1>of interaction. Um, you know, that could actually be a

0:51:08.120 --> 0:51:10.520
<v Speaker 1>really valuable tool. And in fact, there's a lot of

0:51:10.520 --> 0:51:14.040
<v Speaker 1>work that's going into robotics to help people like the

0:51:14.080 --> 0:51:20.680
<v Speaker 1>elderly who may have real emotional and psychological problems, Um,

0:51:20.760 --> 0:51:23.880
<v Speaker 1>due to loneliness. Do you think that robots are the

0:51:23.920 --> 0:51:27.440
<v Speaker 1>answer to that? I think that robots can help. I

0:51:27.480 --> 0:51:29.400
<v Speaker 1>don't know. I would never go so far as to

0:51:29.400 --> 0:51:32.680
<v Speaker 1>say answer. But couldn't you also make the argument that

0:51:33.200 --> 0:51:39.640
<v Speaker 1>if you created robots that displaced human jobs and also

0:51:39.719 --> 0:51:46.520
<v Speaker 1>simultaneously said, hey, this, this nursing home sector is about

0:51:46.560 --> 0:51:49.000
<v Speaker 1>to explode because we've got a bunch of baby boomers

0:51:49.000 --> 0:51:52.840
<v Speaker 1>and ways the society of now decided that our elderly

0:51:52.920 --> 0:51:58.520
<v Speaker 1>need human interaction more than we've more than we've carried

0:51:58.520 --> 0:52:01.840
<v Speaker 1>it out before. So let's create this whole other industry.

0:52:01.920 --> 0:52:06.320
<v Speaker 1>Or let's expand this industry of elderly caretakers and fill

0:52:06.680 --> 0:52:10.640
<v Speaker 1>those jobs with people who have been displaced by roots.

0:52:11.160 --> 0:52:15.640
<v Speaker 1>Wouldn't that be better? That might be? Or you could again,

0:52:15.880 --> 0:52:18.560
<v Speaker 1>looking at the way a lot of roboticists framed this,

0:52:19.200 --> 0:52:21.839
<v Speaker 1>they say, all right, well, it is a reality that

0:52:21.960 --> 0:52:27.480
<v Speaker 1>robots are taking over actual jobs, but the hope is

0:52:27.520 --> 0:52:31.160
<v Speaker 1>that it also ends up creating new jobs that are

0:52:31.200 --> 0:52:36.520
<v Speaker 1>better paying jobs, less dangerous jobs friendly, more old books friendly.

0:52:37.400 --> 0:52:40.600
<v Speaker 1>But yeah, like um, the idea being that that it

0:52:40.719 --> 0:52:45.000
<v Speaker 1>frees up people and encourages the pursuit of jobs and

0:52:45.080 --> 0:52:50.120
<v Speaker 1>engineering in computer science. Now we live in the real

0:52:50.160 --> 0:52:53.520
<v Speaker 1>world and we understand that it's a lot more complex

0:52:53.560 --> 0:52:56.640
<v Speaker 1>than telling someone who's been working on a manufacturing line, Hey,

0:52:56.840 --> 0:52:59.160
<v Speaker 1>I'm sorry your job's gone because there's a robot here.

0:52:59.160 --> 0:53:01.680
<v Speaker 1>But guess what, we have an opening and engineering. So

0:53:01.719 --> 0:53:04.480
<v Speaker 1>if you just go and pursue a four year degree

0:53:04.520 --> 0:53:07.120
<v Speaker 1>and then some post graduate work, you'll be right back

0:53:07.160 --> 0:53:10.719
<v Speaker 1>to work. That's that's obviously not uh something that's going

0:53:10.760 --> 0:53:14.040
<v Speaker 1>to be easy, especially in the short term. But the

0:53:14.080 --> 0:53:16.879
<v Speaker 1>long term hope is that more and more of these

0:53:17.000 --> 0:53:20.600
<v Speaker 1>jobs that are are dangerous for people, are less desirable

0:53:20.640 --> 0:53:24.399
<v Speaker 1>for people, will be taken up by robots, and then

0:53:24.560 --> 0:53:28.200
<v Speaker 1>the will there will be the creation of better jobs

0:53:28.239 --> 0:53:29.920
<v Speaker 1>that are higher up on the food chain. And I

0:53:29.920 --> 0:53:32.680
<v Speaker 1>think that makes sense to me. It's just the once

0:53:32.719 --> 0:53:37.200
<v Speaker 1>you enter the sociability, yeah, because without sociability, there's no

0:53:37.320 --> 0:53:40.439
<v Speaker 1>reason to create a humanoid robot. Everything else can look

0:53:40.520 --> 0:53:44.239
<v Speaker 1>like a robot. Yeah. Um, so it's it's when you

0:53:44.360 --> 0:53:46.880
<v Speaker 1>enter sociability that you lose me. Not only does it

0:53:47.120 --> 0:53:49.040
<v Speaker 1>can it look like a robot, but we can still

0:53:49.120 --> 0:53:51.239
<v Speaker 1>socialize with it, even if it doesn't look like a

0:53:51.320 --> 0:53:54.360
<v Speaker 1>human people there. You know, there's the story that Rumba

0:53:54.400 --> 0:53:57.920
<v Speaker 1>owners named the Yeah yeah, so you we we end

0:53:58.000 --> 0:54:02.279
<v Speaker 1>up having these kind of emotional attachments and investments in

0:54:02.880 --> 0:54:05.439
<v Speaker 1>things that don't look not only do they not like human,

0:54:05.560 --> 0:54:08.520
<v Speaker 1>they don't look like any other animal that we would

0:54:08.600 --> 0:54:13.080
<v Speaker 1>interact with on a like owner or and pet or whatever.

0:54:13.120 --> 0:54:16.319
<v Speaker 1>I mean, they they're they're just a robot. So I

0:54:16.360 --> 0:54:18.040
<v Speaker 1>think at the end of the day, Josh, I think

0:54:18.080 --> 0:54:20.160
<v Speaker 1>we're on the same page. We think humanoid robots are

0:54:20.200 --> 0:54:23.520
<v Speaker 1>an interesting idea, but not necessarily the end goal. There's

0:54:23.640 --> 0:54:27.000
<v Speaker 1>there's not a whole lot of of incentive to go

0:54:27.120 --> 0:54:29.799
<v Speaker 1>after it for its own purposes. We can see the

0:54:29.800 --> 0:54:32.239
<v Speaker 1>benefits of going after it in the sense of the

0:54:32.239 --> 0:54:35.160
<v Speaker 1>developments that are made in that pursuit help us in

0:54:35.200 --> 0:54:41.399
<v Speaker 1>other ways. But I don't need a human robot, Butler, Yeah,

0:54:42.280 --> 0:54:45.799
<v Speaker 1>I just know I don't. Well, I'm curious to hear

0:54:45.880 --> 0:54:49.040
<v Speaker 1>what my listeners have to say about this. You can

0:54:49.080 --> 0:54:51.800
<v Speaker 1>get in touch with me my email addresses, text stuff

0:54:51.960 --> 0:54:54.480
<v Speaker 1>at hell stuff works dot com, or drop me a

0:54:54.520 --> 0:54:59.560
<v Speaker 1>line on Twitter or Facebook or tumbler. Tech Stuff HSW

0:54:59.800 --> 0:55:02.399
<v Speaker 1>is the handle for all three of those. Josh, thank

0:55:02.480 --> 0:55:05.120
<v Speaker 1>you so much for being on the show. Thank you

0:55:05.160 --> 0:55:07.120
<v Speaker 1>for having me. I'm let do this begin now. If

0:55:07.160 --> 0:55:10.720
<v Speaker 1>you have not heard stuff, you should know, you definitely

0:55:10.760 --> 0:55:12.560
<v Speaker 1>need to go and check that out because it is

0:55:12.600 --> 0:55:16.440
<v Speaker 1>a phenomenal podcast. Thank you. Josh is one of the

0:55:16.480 --> 0:55:19.160
<v Speaker 1>two hosts, the other being Chuck Bryant, who I hope

0:55:19.160 --> 0:55:21.719
<v Speaker 1>to have on tech stuff in the near future, so

0:55:21.880 --> 0:55:23.600
<v Speaker 1>keep your ears up for that. And Josh, I hope

0:55:23.640 --> 0:55:26.560
<v Speaker 1>I can grab you back in here for another episode

0:55:26.600 --> 0:55:30.400
<v Speaker 1>in each time. Man awesome. Well, thank you again, and folks,

0:55:30.520 --> 0:55:35.319
<v Speaker 1>we'll talk to you again really soon for more on

0:55:35.400 --> 0:55:37.719
<v Speaker 1>this and thousands of other topics. Because it has to

0:55:37.880 --> 0:55:48.280
<v Speaker 1>works dot Com