WEBVTT - What is the future of robotic hands?

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<v Speaker 1>Brought to you by Toyota. Let's go places. Welcome to

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<v Speaker 1>Forward Thinking. Hey they're I'm welcome to Forward Thinking, the

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<v Speaker 1>podcast that looks at the future and says caused the

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<v Speaker 1>be Bop Stork was about to arrive, Mama gave birth

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<v Speaker 1>to the hand Jive. I'm Jonathan Stricklin and I'm Joe McCormick.

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<v Speaker 1>And here on this show where we often talk about

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<v Speaker 1>robotics and the future of machines replacing us, helping us,

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<v Speaker 1>mostly replacing us. Uh yeah, we sometimes have to take

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<v Speaker 1>stock of the things that still fall under the category

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<v Speaker 1>of humans can definitely do them better than machines. Right

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<v Speaker 1>until recently, one of those things was playing the game

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<v Speaker 1>Go not anymore anymore joined chess and checkers in the

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<v Speaker 1>field tik tac toe. Yeah, the computers are so totally

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<v Speaker 1>better than the hermon Nuclear war Yeah probably. Yeah, Well,

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<v Speaker 1>I mean in the movie War Games, it's it's definitive.

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<v Speaker 1>You know, when I said tick tek to, I think

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<v Speaker 1>what I meant was connect for now that is a

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<v Speaker 1>solved game that computers can always beat us in. But

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<v Speaker 1>I'm pretty sure they can at least force a draw

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<v Speaker 1>or tecto. But anyway, Yeah, so always doing better than us.

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<v Speaker 1>Of course, they can drive cars better than us. That's

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<v Speaker 1>been clearly demonstrated now with one crash out of one

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<v Speaker 1>crash caused by a robotic car out of all the

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<v Speaker 1>ones that have actually all the miles and miles millions

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<v Speaker 1>of miles driven by robotic cars. I think even that

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<v Speaker 1>one's kind of question. Well, you're talking about where it went,

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<v Speaker 1>where it got hit by the bus. I was trying

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<v Speaker 1>to merge Google. It's Googled themselves said, you know that

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<v Speaker 1>they accepted responsibility for that, but partial at fall it

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<v Speaker 1>was a little bit of a backheaded acceptance because they said, like, well,

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<v Speaker 1>we just anticipated that the bus driver would slow down there,

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<v Speaker 1>Like well if the bus had been not a shirt, right, Yeah,

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<v Speaker 1>so there's that. You know. One thing I remember coming

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<v Speaker 1>across a couple of years ago, I think is that

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<v Speaker 1>even now now, computers are even better at reading micro

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<v Speaker 1>expressions on human faces than humans are. Yeah, so you know,

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<v Speaker 1>they can tell when someone's disgusted or bored or whatever

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<v Speaker 1>better than we can. Yeah. I definitely I have encountered

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<v Speaker 1>humans that I know clearly lacked some of that ability

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<v Speaker 1>where I'm like, I can't get out of this conversation.

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<v Speaker 1>No matter what I do, you have to actually tell

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<v Speaker 1>them explicitly stopped talking to me. Yeah, I've also been

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<v Speaker 1>guilty of doing that. I just carry around plasmic grenades

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<v Speaker 1>and what I'm done with a conversation and just stick

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<v Speaker 1>it right to their face. I was just going with

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<v Speaker 1>the ninja smoke pomps. Just then run. You know, for

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<v Speaker 1>a while the robots were pretty bad at walking on

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<v Speaker 1>uneven surfaces, but they're even closed in the gap on

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<v Speaker 1>that those Boston Dynamic spots. Although if you watch that

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<v Speaker 1>DARPA Grand Challenge where it had the sequence of tasks

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<v Speaker 1>that the robots had to be able to complete, we

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<v Speaker 1>saw that robots still find certain tasks really challenging, especially bipedales,

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<v Speaker 1>like like opening a door and walking through it. Well,

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<v Speaker 1>bipedal is a terrible system for anyone to use. Even

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<v Speaker 1>our own spines are really meant to be like Crawley spines. No,

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<v Speaker 1>they're meant to sit in front of a computer. I

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<v Speaker 1>sure hope so, because that's kind of what I'm doing. Well,

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<v Speaker 1>it's true. What one of the biggest problems left for

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<v Speaker 1>machines is dexterity diverse object manipulation on the small scale,

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<v Speaker 1>So you deal with this skill every day. You use

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<v Speaker 1>it all the time handling various objects, especially delicate objects

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<v Speaker 1>with precision. One definition that comes from some researchers that

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<v Speaker 1>we're going to cite later in the episode puts dexterity

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<v Speaker 1>as quote many independently controlled degrees of freedom, speed, strength,

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<v Speaker 1>and compliance. I think that pretty well summarizes it. It's

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<v Speaker 1>what you do with your hands to get all the

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<v Speaker 1>different jobs you need to do done without crushing everything

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<v Speaker 1>you touch in the pro or injuring yourself. Yeah. For example, Uh,

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<v Speaker 1>we can use our hands to manipulate all sorts of

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<v Speaker 1>different objects pretty readily, even if we haven't come into

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<v Speaker 1>contact with them before. Just through the experimentation of touching

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<v Speaker 1>the object and then you get a feel for what

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<v Speaker 1>the object is like, you kind of I get an

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<v Speaker 1>idea immediately. How much pressure should you use when picking

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<v Speaker 1>up the object. When it's something squishy like a banana,

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<v Speaker 1>you know not to squeeze so hard that it squirts

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<v Speaker 1>out both ends. But also if it's like a prickly,

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<v Speaker 1>uh sweet gumball or something, you realize those points, like

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<v Speaker 1>if you use too much pressure, you're going to hurt

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<v Speaker 1>yourself and you know to be gentle with it. And

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<v Speaker 1>you also get a feel immediately how heavy that object is,

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<v Speaker 1>so you know how much force to use when lifting.

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<v Speaker 1>These are things that are intuitive to us, but robots

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<v Speaker 1>don't have intuition, except they kind of can if you

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<v Speaker 1>go with machine learning. But we'll get to that. Yes,

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<v Speaker 1>I think that as well, said Jonathan. So think about

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<v Speaker 1>it this way. When you pick up a banana and

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<v Speaker 1>then peel that banana, and then pick up a knife

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<v Speaker 1>with your other hand, and then slice that banana over

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<v Speaker 1>a bowl of cereal. This may be a simple action

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<v Speaker 1>to you, but this is horrifying warlock magic to robots. Right.

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<v Speaker 1>We we have nothing even close to being able to

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<v Speaker 1>do this unless there's a robot that has been painstakingly

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<v Speaker 1>explicitly programmed specifically for this task, which I haven't heard of.

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<v Speaker 1>If there is, and if there is, it makes you

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<v Speaker 1>wonder what better things people could have done with their

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<v Speaker 1>time rather than training a robot to slice a banana

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<v Speaker 1>into cereals robot. But yes, that's true. That's that's a

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<v Speaker 1>kind of good example of the the idea of explicit

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<v Speaker 1>programming versus a sort of generalist adaptable programming. But yet

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<v Speaker 1>gentle variable, dextrous and deft control of objects in the hands.

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<v Speaker 1>That's just something that robots are not at yet. And

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<v Speaker 1>another thing is that watching video of robots trying to

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<v Speaker 1>achieve this is often really funny. Now. I watched one

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<v Speaker 1>recently where they weren't very um advanced robotic hands. They

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<v Speaker 1>were actually pretty simple clamps. Clamps there, clamps. Yeah, it

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<v Speaker 1>was essentially it was a two pronged kind of hand, right,

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<v Speaker 1>like like just just clamp. Yeah, and uh, but it

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<v Speaker 1>had a box full of different objects, and the robotic

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<v Speaker 1>arms or the hands rather, we're quote unquote learning how

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<v Speaker 1>to pick up those different objects. And they would attempt

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<v Speaker 1>to pick up an object and start to learn from uh,

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<v Speaker 1>trial and error how that was not working properly or

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<v Speaker 1>what did work properly, and it would try to replicate

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<v Speaker 1>that in the future attempt. And it was a box

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<v Speaker 1>full of tons of different stuff, like, uh, staplers, and

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<v Speaker 1>it was mostly office equipment type stuff staplers and and

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<v Speaker 1>and tape and that kind of thing. And they were

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<v Speaker 1>supposed to pick up the staplers and so for a while,

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<v Speaker 1>you know, they're just kind of fumbling around trying to

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<v Speaker 1>find the best way to get a grip on the

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<v Speaker 1>staplers and eventually started to figure it out pretty quickly.

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<v Speaker 1>Then they started to go with more advanced approaches, uh,

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<v Speaker 1>which the hands were learning on their own, direct developing

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<v Speaker 1>these techniques on their own where they would knock an

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<v Speaker 1>object that they didn't want out of the way in

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<v Speaker 1>order to be able to get a grip on the

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<v Speaker 1>object they did want. So it's kind of like you

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<v Speaker 1>know a human where you see a pile of stuff

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<v Speaker 1>and the thing you want is under something else. You

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<v Speaker 1>just kind of move the thing on top in order

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<v Speaker 1>to get it to the thing that you actually want.

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<v Speaker 1>And it was fascinating to watch. It was very funny

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<v Speaker 1>because at the beginning it was just chaos. Right, It's

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<v Speaker 1>just robot hands going everywhere in this box of stuff.

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<v Speaker 1>It's like the hands in that office simulator game talk

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<v Speaker 1>about just throwing things randomly in different directions. Exactly. Yeah, So, okay,

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<v Speaker 1>now we're we're criticizing the current dexterous nous, dexterousness, dexterity,

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<v Speaker 1>dexterity of robot hands. But you might be thinking, wait

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<v Speaker 1>a second, now, I thought that there were industrial robot

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<v Speaker 1>arms and so forth, all kinds of robotic effectors that

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<v Speaker 1>carry out very precise jobs like machining, assembly, and manipulation.

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<v Speaker 1>Job and they do, yeah, they certainly do. But these

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<v Speaker 1>robots have been explicitly programmed for a very specific job

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<v Speaker 1>that they do over and over again. It's worth the

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<v Speaker 1>time for somebody to figure out exactly what motions they

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<v Speaker 1>need to make and teach them how to do that,

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<v Speaker 1>because they're going to be doing the same thing maybe

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<v Speaker 1>for the rest of their lives or at least for

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<v Speaker 1>one long production run. Right. It's it's the idea of

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<v Speaker 1>of using a robot instead of a human for those

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<v Speaker 1>those uh jobs that have really tedious, replicated work that

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<v Speaker 1>you have to do adding a single part to a

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<v Speaker 1>larger thing over and over and over, right, or welding

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<v Speaker 1>a door to a car frame, that kind of stuff

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<v Speaker 1>where you know it's something that would be dull or

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<v Speaker 1>dangerous or dirty. That's the three DS that we often

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<v Speaker 1>get for the kind of jobs that robots are best

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<v Speaker 1>suited for. And as long as it is a task

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<v Speaker 1>that is going to be exactly the same time after time,

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<v Speaker 1>you don't have to worry as much about the um

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<v Speaker 1>the general dexterity. You just have to you just have

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<v Speaker 1>to make it really good at specific movements. Yeah, one

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<v Speaker 1>thing that it does. And so industrial robot might be

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<v Speaker 1>able to, for example, place a ball bearing in a

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<v Speaker 1>machine slot with precision over and over again. But if

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<v Speaker 1>you try to get that same robot arm with its

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<v Speaker 1>same end defect or to open up a ketchup packet

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<v Speaker 1>or something, well, let's see how well it does. End defector,

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<v Speaker 1>by the way, is the industry term for thing at

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<v Speaker 1>the end of a robot arm. Yeah, it's the part

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<v Speaker 1>of the robot that the robot uses to interact with

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<v Speaker 1>the world. So this could be like a welding tor

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<v Speaker 1>to drill, a puncturing style, as a suction cup, a claw,

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<v Speaker 1>a clamp, or maybe a hand, maybe a humanoid hand

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<v Speaker 1>with five fingers. But hey, you might also be thinking, now,

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<v Speaker 1>didn't you guys talk in the past about robotic surgeons

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<v Speaker 1>and how these robotic these surgical robots could give surgeons

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<v Speaker 1>really incredible precision in laparoscopic procedures reaching into the body,

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<v Speaker 1>And yeah, that is also true with precision cutting sutures

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<v Speaker 1>and a tiny, tiny little movements. There is precision in

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<v Speaker 1>these robotic tools. But a couple of things. Number One,

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<v Speaker 1>they're controlled by humans, So What they do is they

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<v Speaker 1>translate large movements of a controller's hands into very tiny,

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<v Speaker 1>precise movements in reality. And this is something that anyone

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<v Speaker 1>who has used a computer in the last thirty years

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<v Speaker 1>has had experience with, because your mouse does the same thing.

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<v Speaker 1>When you move a mouse, you're moving it, uh a

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<v Speaker 1>small Well, it's it's kind of the opposite side. That's

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<v Speaker 1>the same principle, but in opposite right in scale of me. Exactly,

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<v Speaker 1>you move the mouse a little bit and the the

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<v Speaker 1>arrow will move a greater amount on your screen. Because

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<v Speaker 1>if you had to move the mouse exactly the same

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<v Speaker 1>distance as the cursor needs to travel, you would need

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<v Speaker 1>a really big desk. But yeah, so it's the it's

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<v Speaker 1>the same principle, just in reverse, right. Uh. And also

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<v Speaker 1>the robots in these cases, they have a limited number

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<v Speaker 1>of objects and tools they're designed to interact with. Uh.

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<v Speaker 1>And as we said, it's directly controlled by human operator.

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<v Speaker 1>So it's not the same thing as the needing a

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<v Speaker 1>robot that has the kind of dexterity of a human hand. Now,

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<v Speaker 1>some robots can achieve more variable motion, uh, not by

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<v Speaker 1>having a really really powerfully generalist in defector like a

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<v Speaker 1>human hand, but just being able to like switch out tools, right,

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<v Speaker 1>Oh sure, yeah, just sort of like a plug and

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<v Speaker 1>play kind of option of like, well, I need a

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<v Speaker 1>clamp for this, and I need a blowtorch for that.

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<v Speaker 1>I'm not going to put a blowtorch on the clamp.

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<v Speaker 1>I'm going to switch out my robot in defector hand.

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<v Speaker 1>So clearly it's like Dustin Hoffman's hook in the movie

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<v Speaker 1>of the same name, where he could switch the hook

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<v Speaker 1>out his other hook he has. He has one that

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<v Speaker 1>is a double cigarette hold, right, and he has one

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<v Speaker 1>that's a magnifying glass. Yeah. Does he have one that's

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<v Speaker 1>a hand mirror? He might have. Yeah, he did have

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<v Speaker 1>one that was a mirror. You're right. Yeah, it's when

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<v Speaker 1>he's being um attended to by smee. Yeah, where his

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<v Speaker 1>his mustache is being perfectly curled. I can I can

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<v Speaker 1>respect that. Yeah, yeah, but the same sort of thing. Well, anyway,

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<v Speaker 1>so we've discussed all the reasons that robots generally just

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<v Speaker 1>have a very specific type of end defectory that's for

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<v Speaker 1>the job they do. But why would you maybe need

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<v Speaker 1>a robot to have something more like a human hand. Joe,

0:12:32.679 --> 0:12:34.920
<v Speaker 1>let me let me run this by you. We humans

0:12:34.920 --> 0:12:38.400
<v Speaker 1>we've been around. The stuff that we've built, we've built

0:12:38.400 --> 0:12:41.760
<v Speaker 1>for ourselves for the most part, and and we humans,

0:12:42.080 --> 0:12:44.839
<v Speaker 1>uh many of us, have hands, and so the stuff

0:12:44.880 --> 0:12:48.760
<v Speaker 1>we have built has been meant for creatures that have hands.

0:12:49.280 --> 0:12:52.320
<v Speaker 1>And therefore the world that we interact with, particularly the

0:12:52.320 --> 0:12:57.600
<v Speaker 1>the man made portion of that world, is really hand centric.

0:12:57.760 --> 0:12:59.960
<v Speaker 1>So if you want to interact with that world, hand

0:13:00.200 --> 0:13:02.520
<v Speaker 1>are pretty much where it's at. So what you're saying

0:13:02.600 --> 0:13:05.560
<v Speaker 1>is that asking a robot to move around in the

0:13:05.640 --> 0:13:10.319
<v Speaker 1>human world is unbearably cruel and frustrating if that robot

0:13:10.320 --> 0:13:12.240
<v Speaker 1>does not have hands and you need it to do

0:13:12.320 --> 0:13:16.920
<v Speaker 1>things that hands would come in really handy. Yes, I like,

0:13:16.960 --> 0:13:20.840
<v Speaker 1>if you ask a rumba to open a door, I'm sorry,

0:13:20.960 --> 0:13:23.400
<v Speaker 1>that's just not happening. Trying to get clamps to break

0:13:23.480 --> 0:13:26.079
<v Speaker 1>the yard for you, It's gonna have a hard time. Yeah,

0:13:26.200 --> 0:13:29.200
<v Speaker 1>I mean what I Here's the funny thing is that

0:13:29.280 --> 0:13:33.640
<v Speaker 1>as a left hander, UM, I encounter a tiny percentage

0:13:33.880 --> 0:13:36.640
<v Speaker 1>of the frustration that if a robot could feel it,

0:13:36.640 --> 0:13:40.000
<v Speaker 1>it's certainly would feel in a world that is made

0:13:40.080 --> 0:13:44.520
<v Speaker 1>for people who are predominantly right hand dominant. Right, So

0:13:44.840 --> 0:13:47.080
<v Speaker 1>I have this little experience where when I want to

0:13:47.120 --> 0:13:50.559
<v Speaker 1>interact with tools. I need to use certain things. Sometimes

0:13:50.640 --> 0:13:54.160
<v Speaker 1>it is counterintuitive and difficult, and sometimes even in the

0:13:54.200 --> 0:13:57.400
<v Speaker 1>case of chainsaws, dangerous for a left hander to wield.

0:13:58.200 --> 0:14:01.440
<v Speaker 1>And so uh it there and think, well, I actually

0:14:01.480 --> 0:14:04.000
<v Speaker 1>have hands. It's just that I'm dominant with my left hand,

0:14:04.000 --> 0:14:06.600
<v Speaker 1>not my right hand. For robots that don't have hands,

0:14:07.000 --> 0:14:11.520
<v Speaker 1>then these problems are magnified by orders of magnitude, and

0:14:11.559 --> 0:14:14.800
<v Speaker 1>so so the robots that exist today with very specific

0:14:14.840 --> 0:14:17.080
<v Speaker 1>in defectors are not really a problem because they don't

0:14:17.120 --> 0:14:19.520
<v Speaker 1>come into our world. They're not supposed to be able

0:14:19.560 --> 0:14:23.080
<v Speaker 1>to do all the things we do. But people project

0:14:23.280 --> 0:14:25.920
<v Speaker 1>that in the future, maybe in the next couple of decades,

0:14:25.960 --> 0:14:29.680
<v Speaker 1>we're going to start introducing robots that are not the

0:14:29.760 --> 0:14:34.120
<v Speaker 1>specialists that robots have always been, but their generalists. And

0:14:34.160 --> 0:14:37.120
<v Speaker 1>they're not segregated from us in the way robots have

0:14:37.160 --> 0:14:40.800
<v Speaker 1>always been. They're integrated into our lives. They live with us,

0:14:40.800 --> 0:14:43.320
<v Speaker 1>and they do the same kinds of jobs we do.

0:14:43.920 --> 0:14:47.040
<v Speaker 1>And so, for exactly the reason you point out, these

0:14:47.120 --> 0:14:50.120
<v Speaker 1>robots need to be able to touch the same things

0:14:50.120 --> 0:14:52.920
<v Speaker 1>we touch, and touch them in the same way, manipulate

0:14:52.960 --> 0:14:55.440
<v Speaker 1>them in the same way to to be able to

0:14:55.520 --> 0:14:58.520
<v Speaker 1>handle the stuff we handle without smashing it or dropping

0:14:58.560 --> 0:15:01.080
<v Speaker 1>it or not knowing what to do with it. Yeah,

0:15:01.120 --> 0:15:05.320
<v Speaker 1>otherwise you end up having to redesign all the tools, right,

0:15:05.360 --> 0:15:08.360
<v Speaker 1>you'd have to redesign the tools for the robots, which

0:15:08.400 --> 0:15:11.240
<v Speaker 1>seems like that would be a whole lot more work,

0:15:12.000 --> 0:15:15.000
<v Speaker 1>depending on how tricky it is to really get a

0:15:15.040 --> 0:15:18.160
<v Speaker 1>good set of robotic hands. Also, I want to point

0:15:18.160 --> 0:15:22.120
<v Speaker 1>out I'm so sad that our listeners can't watch this

0:15:22.200 --> 0:15:25.960
<v Speaker 1>podcast because we are just naturally gesturing with our hands

0:15:26.000 --> 0:15:30.600
<v Speaker 1>a whole bunch a lot to begin with. That's true. Yeah,

0:15:30.640 --> 0:15:33.040
<v Speaker 1>I do make a lot of crab claw emotions in general,

0:15:33.080 --> 0:15:36.520
<v Speaker 1>and most podcasts, that's true, full of clamps. Yeah. But

0:15:36.640 --> 0:15:38.960
<v Speaker 1>another thing, so one of them. One of the things

0:15:39.080 --> 0:15:42.760
<v Speaker 1>is that we want generalist robots rather than specialist robots

0:15:42.760 --> 0:15:44.960
<v Speaker 1>to be able to integrate into our lives in the future.

0:15:45.000 --> 0:15:47.520
<v Speaker 1>But the other one is just the The human hand

0:15:47.680 --> 0:15:53.160
<v Speaker 1>is an amazingly remarkably powerful machine. It's it's a it's

0:15:53.160 --> 0:15:55.600
<v Speaker 1>a miracle of nature. It can be adapted to so

0:15:55.640 --> 0:15:58.720
<v Speaker 1>many different jobs. And this isn't just because it's natural.

0:15:58.880 --> 0:16:02.320
<v Speaker 1>I mean, I'm not saying any biological version of an

0:16:02.320 --> 0:16:04.360
<v Speaker 1>indefector would be able to do this because think about

0:16:04.360 --> 0:16:07.520
<v Speaker 1>a crabs claw or an ants four limbs. They can't

0:16:07.560 --> 0:16:10.120
<v Speaker 1>do all the things that the primate hand can do.

0:16:10.800 --> 0:16:15.720
<v Speaker 1>It's the primate hand, and specifically that's so amazingly powerful.

0:16:16.040 --> 0:16:22.080
<v Speaker 1>It can push, pull, punch, pinch, slap, climb, throw, place

0:16:22.240 --> 0:16:25.840
<v Speaker 1>things definitely, I mean it can do in thousands of things.

0:16:26.520 --> 0:16:28.720
<v Speaker 1>And and it can do all these things with objects

0:16:28.760 --> 0:16:34.359
<v Speaker 1>of vastly varying size, weight, and shape. The minimum roboticists

0:16:34.440 --> 0:16:37.360
<v Speaker 1>say that you need to to approximate to human hands

0:16:37.440 --> 0:16:42.000
<v Speaker 1>gripping and manipulation capacity is nine degrees of freedom. That's

0:16:42.200 --> 0:16:46.480
<v Speaker 1>that's three fingers capable of moving in a three dimensional space. Yeah,

0:16:46.520 --> 0:16:48.600
<v Speaker 1>and I feel like I've seen robotic hands that are

0:16:48.640 --> 0:16:51.480
<v Speaker 1>basically three fingers. Yeah. Yeah, it looks a little bit

0:16:51.520 --> 0:16:55.200
<v Speaker 1>like a like a nightcrawler hand. Yeah, um um. But

0:16:55.440 --> 0:16:57.520
<v Speaker 1>but a fully functional hand is a lot more complicated

0:16:57.560 --> 0:16:59.920
<v Speaker 1>than that. Yeah. The human the human hand has more

0:17:00.000 --> 0:17:02.560
<v Speaker 1>than twenty independent degrees of freedom. I think I've seen

0:17:02.600 --> 0:17:06.080
<v Speaker 1>somebody say twenty seven somewhere. That might be a disputable number,

0:17:06.119 --> 0:17:09.320
<v Speaker 1>but definitely more than twenty. Uh. And it's controlled by

0:17:09.359 --> 0:17:12.680
<v Speaker 1>more than thirty muscles, which in in robotics terms would

0:17:12.680 --> 0:17:17.000
<v Speaker 1>be actuators. Yeah, and so, uh, you know, when you

0:17:17.040 --> 0:17:19.760
<v Speaker 1>think about something that complex. Now, let's let's be fair.

0:17:20.359 --> 0:17:23.600
<v Speaker 1>The human hand has had the benefit of millions of

0:17:23.800 --> 0:17:29.239
<v Speaker 1>years of evolution to lead to that that that approach, right.

0:17:29.480 --> 0:17:32.040
<v Speaker 1>Robotic hands, on the other hand, have had a few decades. Right,

0:17:32.119 --> 0:17:37.480
<v Speaker 1>So we are trying to replicate what took nature millions

0:17:37.480 --> 0:17:40.520
<v Speaker 1>of years to create. And uh, and so we shouldn't

0:17:40.720 --> 0:17:47.240
<v Speaker 1>be so not skeptical, but so dismissive of how quote

0:17:47.280 --> 0:17:52.160
<v Speaker 1>unquote primitive robotic hands are right now, because honestly, they're

0:17:52.160 --> 0:17:56.760
<v Speaker 1>getting to be pretty sophisticated. And also, I did want

0:17:56.760 --> 0:17:59.080
<v Speaker 1>to point out that, you know, just because the human

0:17:59.119 --> 0:18:03.120
<v Speaker 1>hand works so for us, doesn't necessarily mean that it's

0:18:03.200 --> 0:18:05.560
<v Speaker 1>the only design that we can come up with. It

0:18:05.640 --> 0:18:08.639
<v Speaker 1>can do this kind of amazing stuff. There's some really

0:18:08.680 --> 0:18:12.600
<v Speaker 1>cool generalist end defectors that are being designed that look

0:18:12.680 --> 0:18:15.440
<v Speaker 1>nothing like a human hand. I wanted to mention one

0:18:15.840 --> 0:18:18.720
<v Speaker 1>sort of as an example of how advanced they can

0:18:18.800 --> 0:18:23.080
<v Speaker 1>be yet yet still failed to match our hands design ultimately,

0:18:23.520 --> 0:18:26.000
<v Speaker 1>and I think we've we've mentioned this type on on

0:18:26.040 --> 0:18:30.800
<v Speaker 1>the show before. Um, it's based on jamming transition technology

0:18:30.840 --> 0:18:33.600
<v Speaker 1>and okay, and in physics, jamming is what happens when

0:18:33.960 --> 0:18:37.679
<v Speaker 1>granular materials that would usually flow, like a sand or

0:18:37.680 --> 0:18:41.720
<v Speaker 1>sugar or coffee grounds or whatever, they become rigid when

0:18:41.760 --> 0:18:44.800
<v Speaker 1>they're like really packed in. Yeah. Like like if if,

0:18:44.840 --> 0:18:47.959
<v Speaker 1>if you've ever handled a package of vacuum sealed coffee grounds,

0:18:48.400 --> 0:18:51.200
<v Speaker 1>it's a it's a brick. It's solid, completely solid, but

0:18:51.200 --> 0:18:53.159
<v Speaker 1>but if you open it up, you can pour the

0:18:53.200 --> 0:18:58.560
<v Speaker 1>grounds into your coffee maker. Um sand flows through our glasses,

0:18:59.320 --> 0:19:03.480
<v Speaker 1>but in a hack sec it becomes a solid, bouncy unit. Yeah, so,

0:19:03.560 --> 0:19:05.040
<v Speaker 1>and I like that. We I think this is the

0:19:05.080 --> 0:19:07.800
<v Speaker 1>second mention of hackey sex we've had in this episode

0:19:07.840 --> 0:19:10.800
<v Speaker 1>so far. Good times. I think we actually mentioned hacky

0:19:10.800 --> 0:19:14.800
<v Speaker 1>sex before we start. It's okay because it's always in

0:19:14.800 --> 0:19:18.800
<v Speaker 1>our hearts and sometimes on our knees and feet. Jonathan,

0:19:18.840 --> 0:19:20.639
<v Speaker 1>were you a high school hacky sack? I am not

0:19:20.680 --> 0:19:27.080
<v Speaker 1>answering that question, Joe, please go on, Lauren, no problem, Jonathan, Okay, So, So,

0:19:27.240 --> 0:19:31.399
<v Speaker 1>jamming transition, which is the jamming transition technology, is the

0:19:31.440 --> 0:19:33.520
<v Speaker 1>word I used before, the term I used before. A

0:19:33.600 --> 0:19:38.440
<v Speaker 1>jamming transition occurs when grains of stuff become dense enough

0:19:38.480 --> 0:19:41.720
<v Speaker 1>to act as a solid. And this, as it turns out,

0:19:41.840 --> 0:19:45.560
<v Speaker 1>is a really useful property because researchers figured out that

0:19:45.720 --> 0:19:48.520
<v Speaker 1>if you fill a soft rubber ball with a granular

0:19:48.560 --> 0:19:51.199
<v Speaker 1>material and then attached that rubber ball to the end

0:19:51.200 --> 0:19:54.680
<v Speaker 1>of a vacuum tube, you can quickly and easily move

0:19:54.800 --> 0:19:58.600
<v Speaker 1>air into and out of the ball, thus changing the

0:19:58.680 --> 0:20:02.560
<v Speaker 1>density and the behavior year of the material inside um.

0:20:02.720 --> 0:20:04.720
<v Speaker 1>And you can use such a device to to grip

0:20:04.760 --> 0:20:07.439
<v Speaker 1>and handle objects of all kinds of different shapes and

0:20:07.480 --> 0:20:11.440
<v Speaker 1>sizes because they mold to it. And and then like

0:20:11.680 --> 0:20:13.800
<v Speaker 1>if you've got a lego brick, the ball can bend

0:20:13.840 --> 0:20:16.359
<v Speaker 1>around the top of the brick or the top of

0:20:16.400 --> 0:20:19.800
<v Speaker 1>a bottle cap and solidify around it in order to

0:20:19.800 --> 0:20:22.760
<v Speaker 1>pick it up. Then it can soften again to put

0:20:22.800 --> 0:20:27.159
<v Speaker 1>it down. And this is pretty amazing. Yeah, yeah, you

0:20:27.240 --> 0:20:29.119
<v Speaker 1>might have you might have seen one that the bright

0:20:29.280 --> 0:20:32.680
<v Speaker 1>green versible um. It looks like a like a weird

0:20:32.720 --> 0:20:35.679
<v Speaker 1>little tennis ball on the end of a tube. And

0:20:35.680 --> 0:20:37.880
<v Speaker 1>and about a year or two ago, I think there

0:20:37.880 --> 0:20:40.480
<v Speaker 1>were a lot of videos going around interesting. But yeah, yeah,

0:20:40.480 --> 0:20:44.280
<v Speaker 1>it's a it's great. It's really fascinating and beautiful to

0:20:44.320 --> 0:20:47.760
<v Speaker 1>watch inaction. Also, it can't play a piano at all.

0:20:48.560 --> 0:20:51.280
<v Speaker 1>It would suck at that. What's amazing to me is

0:20:51.320 --> 0:20:54.359
<v Speaker 1>that this actually reminds me of I saw a comedy show.

0:20:54.520 --> 0:20:57.480
<v Speaker 1>It was improvised comedy show, and one of the characters

0:20:57.480 --> 0:21:00.600
<v Speaker 1>in the show was a robot that had become horrified

0:21:00.600 --> 0:21:03.040
<v Speaker 1>that had had killed his best friend because did not

0:21:03.119 --> 0:21:07.679
<v Speaker 1>realize that humans can't reboot, and so had replaced replaced

0:21:07.680 --> 0:21:10.119
<v Speaker 1>these hands. He would say that over and over in

0:21:10.160 --> 0:21:13.639
<v Speaker 1>the episode. He replaced his hands with oven mits filled

0:21:13.680 --> 0:21:16.000
<v Speaker 1>with cookie dough, is what he described it, so that

0:21:16.040 --> 0:21:17.760
<v Speaker 1>way he could no longer hurt anything. It would just

0:21:17.800 --> 0:21:21.680
<v Speaker 1>flop against people and uh and it was. It was

0:21:21.800 --> 0:21:25.080
<v Speaker 1>hilarious and heartbreaking at the same time. So when you're

0:21:25.119 --> 0:21:29.720
<v Speaker 1>describing this like, I can't believe that that incredibly weird

0:21:29.880 --> 0:21:34.679
<v Speaker 1>improvised comedy thing I saw fifteen years ago is kind

0:21:34.680 --> 0:21:37.160
<v Speaker 1>of sort of the same thing you're talking about. It's

0:21:37.200 --> 0:21:39.159
<v Speaker 1>just it's just it's a cookie dough. It would be

0:21:39.200 --> 0:21:44.320
<v Speaker 1>some sort of granular type stuff. But that's amazing and weird.

0:21:45.600 --> 0:21:49.200
<v Speaker 1>Are the are the future thinkers? I guess, I guess

0:21:49.240 --> 0:21:52.000
<v Speaker 1>the Jules Verne of today. I have to I have

0:21:52.040 --> 0:21:53.800
<v Speaker 1>to let him know. I know the guy who did it,

0:21:53.880 --> 0:21:56.280
<v Speaker 1>so I have to tell him, Hey, you were prescient

0:21:56.960 --> 0:22:01.440
<v Speaker 1>in your goofy makeup ups. Some people who have been

0:22:01.440 --> 0:22:04.720
<v Speaker 1>working with robot hands even earlier than this improv team

0:22:04.760 --> 0:22:09.040
<v Speaker 1>of yours. Um was it? Was it with Dad's Garage,

0:22:09.200 --> 0:22:13.639
<v Speaker 1>Christ's Garage. You guys, if you're ever in Atlanta, if

0:22:13.680 --> 0:22:16.359
<v Speaker 1>you're from Atlanta, you should totally check out the work

0:22:16.400 --> 0:22:19.280
<v Speaker 1>that Dad's Garage does. It's a terrific theater company anyway.

0:22:19.359 --> 0:22:22.280
<v Speaker 1>Um okay, So, so even before Dad's Garage, people were

0:22:22.280 --> 0:22:25.840
<v Speaker 1>working on robot hands. And if we were going to

0:22:25.960 --> 0:22:28.800
<v Speaker 1>go into the full history of this, it would the

0:22:28.880 --> 0:22:31.320
<v Speaker 1>history of the development in the technology. That would be

0:22:31.320 --> 0:22:35.040
<v Speaker 1>a whole episode unto itself, probably a couple And maybe

0:22:35.119 --> 0:22:37.000
<v Speaker 1>we should do that on tech stuff sometimes that might

0:22:37.000 --> 0:22:39.040
<v Speaker 1>be a great idea. Yeah, sure, since we've got some

0:22:39.080 --> 0:22:41.720
<v Speaker 1>of the research right here, that would be a great

0:22:41.800 --> 0:22:44.480
<v Speaker 1>foundation for a tech stuff episode. But I did want

0:22:44.480 --> 0:22:47.520
<v Speaker 1>to mention a few of the particularly like key or

0:22:47.640 --> 0:22:50.840
<v Speaker 1>or interesting stories from the very beginning days of the

0:22:50.880 --> 0:22:53.440
<v Speaker 1>development of this kind of stuff. Cool. So, as far

0:22:53.480 --> 0:22:58.040
<v Speaker 1>as I can tell, the first electrical mechanical five fingered

0:22:58.119 --> 0:23:01.399
<v Speaker 1>hand is from nineteen six two. I bet that was

0:23:01.440 --> 0:23:05.919
<v Speaker 1>a horror. It wasn't a full robot it and it

0:23:05.960 --> 0:23:08.960
<v Speaker 1>actually it was so beautifully designed that it wasn't such

0:23:08.960 --> 0:23:13.760
<v Speaker 1>a horror as you would imagine. Yeah, it was intended

0:23:13.840 --> 0:23:16.560
<v Speaker 1>to to be a prosthesis. And it's called the bell

0:23:16.640 --> 0:23:20.080
<v Speaker 1>Grade Hand. It was designed by a biomedical engineer by

0:23:20.080 --> 0:23:23.440
<v Speaker 1>the name of Rachael Tomovich and an electrical engineer by

0:23:23.440 --> 0:23:27.280
<v Speaker 1>the name of Mio Drug at the University of Belgrade.

0:23:27.680 --> 0:23:31.000
<v Speaker 1>He's the name the Belgrade Hand. And I'm really hope

0:23:31.040 --> 0:23:33.320
<v Speaker 1>that I'm not. I looked up the pronunciation of these names,

0:23:33.359 --> 0:23:35.560
<v Speaker 1>but I don't know Serbian, so I might still be

0:23:35.640 --> 0:23:38.439
<v Speaker 1>totally mangling them. It's way better than any time I

0:23:38.520 --> 0:23:41.960
<v Speaker 1>ever say anyone's name in whatever language. So I think,

0:23:42.080 --> 0:23:46.680
<v Speaker 1>I think you have acquitted yourself with honor. Excellent. Um,

0:23:46.880 --> 0:23:49.640
<v Speaker 1>there's actually a lot of really beautiful images of their

0:23:49.760 --> 0:23:52.800
<v Speaker 1>design because a couple of years back, and artist by

0:23:52.800 --> 0:23:58.080
<v Speaker 1>the name of another one, okay, Alexandra Demonovich. Yes, yes,

0:23:58.480 --> 0:24:01.240
<v Speaker 1>she she built a digital model of the Belgrade Hand

0:24:01.280 --> 0:24:03.240
<v Speaker 1>and then casted a whole bunch of copies for a

0:24:03.280 --> 0:24:05.840
<v Speaker 1>gallery show she did called The Future was at her

0:24:05.880 --> 0:24:12.440
<v Speaker 1>finger tips anyway, the Belgrade hand had five touch sensitive

0:24:12.480 --> 0:24:16.160
<v Speaker 1>fingers that were controlled by a single motor, so that

0:24:16.200 --> 0:24:20.480
<v Speaker 1>when any fingerpad came into contact with an object, all

0:24:20.520 --> 0:24:24.520
<v Speaker 1>the fingers closed until the pressure on each pad was

0:24:24.520 --> 0:24:31.120
<v Speaker 1>was just about equal, thereby hypothetically gripping the object. Interesting, yeah, um,

0:24:31.160 --> 0:24:33.600
<v Speaker 1>but not a robot. It was, you know, a reactionary

0:24:33.640 --> 0:24:39.040
<v Speaker 1>machine piece. Um that. The first truly like programmable hand

0:24:39.240 --> 0:24:42.280
<v Speaker 1>was a three finger device created in three in a

0:24:42.320 --> 0:24:47.000
<v Speaker 1>collaboration by Stanford University and NASA's Jet Propulsion Laboratory, thus

0:24:47.040 --> 0:24:50.760
<v Speaker 1>called the Stanford JPL hand. Uh. The lead designer was

0:24:50.800 --> 0:24:55.240
<v Speaker 1>this fascinating guy, Jay Kenneth Salisbury Jr. Who's a mechanical

0:24:55.280 --> 0:25:00.560
<v Speaker 1>engineer who specializes in both computer science and surgical anatomy,

0:25:00.840 --> 0:25:04.440
<v Speaker 1>which diverse interests. I know, I love it, um and

0:25:04.440 --> 0:25:07.960
<v Speaker 1>and the Stanford JPL hand had three joints on each

0:25:08.000 --> 0:25:12.359
<v Speaker 1>finger for nine total degrees of freedom with its again

0:25:12.400 --> 0:25:16.320
<v Speaker 1>like kind of like nightcrawler hands, and and its motions

0:25:16.480 --> 0:25:20.679
<v Speaker 1>were controlled by electric motors that were attached to tendons

0:25:20.920 --> 0:25:25.520
<v Speaker 1>within the fingers. But perhaps the most famous device from

0:25:25.560 --> 0:25:29.439
<v Speaker 1>this general era was created in five. It was a

0:25:29.520 --> 0:25:32.159
<v Speaker 1>four fingered hand from the University of Utah and m

0:25:32.200 --> 0:25:34.680
<v Speaker 1>I T. That's called the Utah m I T Hand,

0:25:35.000 --> 0:25:37.480
<v Speaker 1>and each finger on it had four joints for a

0:25:37.520 --> 0:25:40.400
<v Speaker 1>total of sixteen degrees of freedom, and its motions were

0:25:40.440 --> 0:25:44.000
<v Speaker 1>were pneumatically driven. Wait, four joints, that's more than real

0:25:44.040 --> 0:25:50.200
<v Speaker 1>fingers have, right, Yeah, it is, isn't it to yea more? Yeah?

0:25:50.240 --> 0:25:53.399
<v Speaker 1>So it looks and only are we gesturing with her

0:25:53.440 --> 0:25:58.040
<v Speaker 1>hands were referring to them staring at let me physically

0:25:58.119 --> 0:26:00.680
<v Speaker 1>count the joints on my hand. Um. Usually it's only

0:26:00.720 --> 0:26:03.040
<v Speaker 1>on the weekends when I'm just staring at my hands.

0:26:03.720 --> 0:26:07.720
<v Speaker 1>But today I feel like we're really really making progress

0:26:07.720 --> 0:26:10.640
<v Speaker 1>toward that. Uh and so. So the fingers were sort

0:26:10.640 --> 0:26:13.639
<v Speaker 1>of like long and spidery. It actually reminds me of

0:26:13.680 --> 0:26:16.760
<v Speaker 1>like a skeletal version of of like Mr Burns hands

0:26:16.760 --> 0:26:20.280
<v Speaker 1>on The Simpsons, the three fingers and the thumb and

0:26:20.359 --> 0:26:25.159
<v Speaker 1>so hull um. The the kind of most advanced of

0:26:25.200 --> 0:26:28.160
<v Speaker 1>the bunch was released in nineteen eighty eight or or

0:26:28.480 --> 0:26:31.280
<v Speaker 1>debuted in because there were a couple of different models

0:26:31.280 --> 0:26:34.239
<v Speaker 1>of it out of the University of Southern California and

0:26:34.320 --> 0:26:37.920
<v Speaker 1>the University of Novi. Sad At Belgrade and that's called

0:26:37.960 --> 0:26:40.560
<v Speaker 1>the Belgrade USC hand. It's based on the design of

0:26:40.560 --> 0:26:44.280
<v Speaker 1>that original nineteen sixties Belgrade hand. Um So, it had

0:26:44.400 --> 0:26:47.240
<v Speaker 1>a rotating thumb with two joints, and fingers with three

0:26:47.320 --> 0:26:49.800
<v Speaker 1>joints each for a total of fifteen degrees of freedom.

0:26:49.880 --> 0:26:54.840
<v Speaker 1>And unlike these these previous examples, the joints were not

0:26:55.359 --> 0:26:58.600
<v Speaker 1>independently controlled. They kind of took que from that Belgrade

0:26:58.640 --> 0:27:02.000
<v Speaker 1>hand and also from actual human fingers because if you,

0:27:02.680 --> 0:27:06.080
<v Speaker 1>I mean, you can independently move each finger, but all

0:27:06.119 --> 0:27:09.200
<v Speaker 1>of the joints on each finger are kind of attached

0:27:09.280 --> 0:27:12.320
<v Speaker 1>to each other, I mean, movement wise. So, um so,

0:27:12.480 --> 0:27:15.639
<v Speaker 1>if if if a knuckle joint moved on this spell

0:27:15.680 --> 0:27:18.320
<v Speaker 1>Grade USC hand, it would trigger the other joints on

0:27:18.359 --> 0:27:21.159
<v Speaker 1>that finger to move as well. Right to sort of

0:27:21.160 --> 0:27:24.120
<v Speaker 1>curl in. Yeah, Like again we're looking at her hands

0:27:24.119 --> 0:27:26.240
<v Speaker 1>and playing with them. Well you know, it's just try

0:27:26.320 --> 0:27:28.560
<v Speaker 1>to just curl in your pinky. I can't do that.

0:27:28.600 --> 0:27:31.520
<v Speaker 1>I can't do your other finger comes with it, not

0:27:31.600 --> 0:27:34.560
<v Speaker 1>at all like that. That's a that's a like I'm point,

0:27:34.720 --> 0:27:36.919
<v Speaker 1>I'm showing something to people who can't even see this.

0:27:37.000 --> 0:27:40.600
<v Speaker 1>It's just Joe and Lauren to get Yeah, when I curl,

0:27:40.840 --> 0:27:43.080
<v Speaker 1>When I curl in my pinky, my my ring finger

0:27:43.160 --> 0:27:45.680
<v Speaker 1>is almost as curled in, and then my other two

0:27:45.680 --> 0:27:49.119
<v Speaker 1>fingers curling as well. For me, because I can't, Lauren

0:27:49.240 --> 0:27:52.960
<v Speaker 1>is able to turn her pinky's in much more capably.

0:27:53.359 --> 0:27:55.560
<v Speaker 1>Just I was able to just pull my pinky in

0:27:55.760 --> 0:28:00.760
<v Speaker 1>after I forced it down with my other hand. That's cheating, cheating,

0:28:01.600 --> 0:28:04.160
<v Speaker 1>but but there are some robot hands that can do that,

0:28:04.280 --> 0:28:08.320
<v Speaker 1>where each finger can independently move with that full freedom.

0:28:08.359 --> 0:28:10.520
<v Speaker 1>This approach, however, was more like a human hand, and

0:28:10.560 --> 0:28:14.600
<v Speaker 1>that you had those connections between the various fingers right right,

0:28:14.640 --> 0:28:17.479
<v Speaker 1>So it's a little bit more naturalistic and probably energy

0:28:17.520 --> 0:28:21.200
<v Speaker 1>savings as a result. Interesting. And um, and these these

0:28:21.359 --> 0:28:24.639
<v Speaker 1>few that I've just mentioned, we're kind of the standards

0:28:24.720 --> 0:28:28.920
<v Speaker 1>that that everyone referred to for for a number of years. Um,

0:28:28.960 --> 0:28:31.800
<v Speaker 1>it wasn't really until the late nineties that a whole

0:28:32.160 --> 0:28:37.240
<v Speaker 1>slew of research projects involving robotic hands started going into development. Again,

0:28:37.800 --> 0:28:40.320
<v Speaker 1>you know, the tech was kind of booming at that time,

0:28:40.680 --> 0:28:44.080
<v Speaker 1>and also the the size and cost of computers was

0:28:44.160 --> 0:28:48.000
<v Speaker 1>really starting to actively shrink, right, yeah, right, uh yeah,

0:28:48.040 --> 0:28:50.400
<v Speaker 1>And so of course research has continued. I know one

0:28:50.440 --> 0:28:53.320
<v Speaker 1>private company that has been a big name in in

0:28:53.480 --> 0:28:56.080
<v Speaker 1>robotic hands or at least five fingered robotic hands in

0:28:56.080 --> 0:28:58.760
<v Speaker 1>the past decade or so has been the Shadow Robot

0:28:58.840 --> 0:29:03.080
<v Speaker 1>company out of London. Doesn't sound terrifying at all, right,

0:29:03.280 --> 0:29:05.440
<v Speaker 1>but they've yeah, they've got this product called the Shadow

0:29:05.480 --> 0:29:07.400
<v Speaker 1>Dexterous Hand. And when I when I was looking at

0:29:07.440 --> 0:29:11.040
<v Speaker 1>a research that was ongoing at like university labs with

0:29:11.120 --> 0:29:13.200
<v Speaker 1>the robotic hands, a lot of them seemed to be

0:29:13.240 --> 0:29:17.080
<v Speaker 1>basing their models off of the Shadow Hand, like making

0:29:17.080 --> 0:29:19.840
<v Speaker 1>modifications to it and stuff. Right, the Shadow Hand itself

0:29:19.880 --> 0:29:22.840
<v Speaker 1>is commercially available, so you can buy one. They do

0:29:22.920 --> 0:29:25.560
<v Speaker 1>not say how much it costs. I wonder why not

0:29:25.720 --> 0:29:29.360
<v Speaker 1>you send an inquiry and find out, uh general rule

0:29:29.400 --> 0:29:31.320
<v Speaker 1>of thumb if you have to ask, it's too much

0:29:31.480 --> 0:29:34.320
<v Speaker 1>for you to pay. But but but it is. It

0:29:34.440 --> 0:29:36.840
<v Speaker 1>is a really fascinating piece of technology. I know a

0:29:36.920 --> 0:29:39.960
<v Speaker 1>shadow now. I don't know exactly how much their product

0:29:40.040 --> 0:29:43.560
<v Speaker 1>came through in the final version, but they were involved

0:29:43.600 --> 0:29:46.719
<v Speaker 1>in the creation of the Moley Chef robot right right,

0:29:46.760 --> 0:29:48.880
<v Speaker 1>which is the one about those disembodied hands to make

0:29:48.920 --> 0:29:52.000
<v Speaker 1>the crab bisk that Lauren was talking about. Earlier. Yea um,

0:29:52.040 --> 0:29:54.600
<v Speaker 1>so it's got hands reaching around the stoves, you know,

0:29:54.680 --> 0:29:56.920
<v Speaker 1>adding ingredients and stirring stuff. And we know that the

0:29:56.920 --> 0:30:00.000
<v Speaker 1>Shadow Robot company had something to do with contributing technolo

0:30:00.040 --> 0:30:03.160
<v Speaker 1>lergy to that, right, So the hand that they make,

0:30:03.200 --> 0:30:06.520
<v Speaker 1>the stexterous hand, has twenty degrees of freedom, so similar

0:30:06.560 --> 0:30:10.120
<v Speaker 1>to a human hand. Twenty four joints total, and the

0:30:10.160 --> 0:30:12.440
<v Speaker 1>fingers and thumb are all capable of motion. And it

0:30:12.440 --> 0:30:15.400
<v Speaker 1>can also flex its palm similar to what our hands

0:30:15.440 --> 0:30:17.400
<v Speaker 1>do near the little finger when we close our fists.

0:30:17.400 --> 0:30:20.000
<v Speaker 1>So when you close your fist, you see that there's

0:30:20.000 --> 0:30:22.480
<v Speaker 1>a little bit of a fold right below your your

0:30:22.560 --> 0:30:25.880
<v Speaker 1>pinky that this hand also does that. So it's not

0:30:26.000 --> 0:30:29.360
<v Speaker 1>just an independent joint where the pinky just folds down

0:30:29.520 --> 0:30:32.480
<v Speaker 1>over the palm of the hand. The palm itself, palm

0:30:32.600 --> 0:30:36.760
<v Speaker 1>doesn't move at all exactly. So it has a hundred

0:30:36.800 --> 0:30:41.920
<v Speaker 1>twenty nine sensors, so pretty advanced, right. It provides telemetry

0:30:42.000 --> 0:30:45.160
<v Speaker 1>data and it makes the hand useful for developing manipulation

0:30:45.200 --> 0:30:48.000
<v Speaker 1>control systems. So you might end up getting a hand

0:30:48.080 --> 0:30:50.200
<v Speaker 1>like this if you are actually working on the back

0:30:50.480 --> 0:30:54.120
<v Speaker 1>end uh software side of things to control the hardware

0:30:54.760 --> 0:30:58.320
<v Speaker 1>Each joint also has absolute position sensing, and each actuator

0:30:58.360 --> 0:31:01.720
<v Speaker 1>has force sensing. That way, you can get really specific

0:31:01.760 --> 0:31:04.680
<v Speaker 1>with the way the robotic can handles whatever objects you're

0:31:04.680 --> 0:31:08.560
<v Speaker 1>planning on making it handle. The fingertips have other sensors

0:31:08.560 --> 0:31:12.680
<v Speaker 1>in them as well that can sense tactile uh sensations

0:31:12.720 --> 0:31:15.160
<v Speaker 1>in other words, rough versus smooth, that kind of thing.

0:31:15.960 --> 0:31:20.520
<v Speaker 1>Also temperature, so it knows if something is hot or cold. Uh.

0:31:20.560 --> 0:31:22.600
<v Speaker 1>I mean again, these are things that we take for

0:31:22.640 --> 0:31:26.400
<v Speaker 1>granted as human beings, but robots don't just automatically know that.

0:31:26.640 --> 0:31:29.560
<v Speaker 1>If a robot hasn't been programmed to sense temperature and

0:31:29.640 --> 0:31:32.200
<v Speaker 1>react to it in some way, if you had a

0:31:32.280 --> 0:31:34.800
<v Speaker 1>robotic hand and it came into contact with something too

0:31:34.840 --> 0:31:37.640
<v Speaker 1>hot for the robotic hand to stand up to for

0:31:37.680 --> 0:31:40.720
<v Speaker 1>any length of time, it would just get destroyed. It

0:31:40.720 --> 0:31:44.760
<v Speaker 1>would be melted or burn. So uh, it's a very

0:31:44.760 --> 0:31:47.120
<v Speaker 1>clever thing that they added. Also, it can detect current

0:31:47.200 --> 0:31:51.040
<v Speaker 1>and voltage um so you can have it. Yeah, you know,

0:31:51.120 --> 0:31:54.080
<v Speaker 1>you're working with electronic systems and being able to detect,

0:31:54.240 --> 0:31:56.200
<v Speaker 1>you know, whether or not current is flowing, something that

0:31:56.320 --> 0:31:58.920
<v Speaker 1>you don't mind a robot doing, but you probably mind

0:31:58.960 --> 0:32:02.560
<v Speaker 1>if a person is doing it. If you're a decent person,

0:32:02.600 --> 0:32:05.000
<v Speaker 1>you mind if a person is doing it, because you're

0:32:05.120 --> 0:32:08.080
<v Speaker 1>depending on the amount of voltage and current, you might

0:32:08.200 --> 0:32:12.000
<v Speaker 1>have some pretty big safety issues on your hands. Um

0:32:12.040 --> 0:32:16.280
<v Speaker 1>And so really a cool piece of technology. And uh,

0:32:16.320 --> 0:32:19.320
<v Speaker 1>you know, Joe, you wrote the script for the video

0:32:19.320 --> 0:32:22.440
<v Speaker 1>episode that we did about robotic hands, which and I

0:32:22.480 --> 0:32:24.480
<v Speaker 1>don't know when this podcast goes live. I have no

0:32:24.520 --> 0:32:26.360
<v Speaker 1>idea if that video will have published yet or not,

0:32:26.400 --> 0:32:28.239
<v Speaker 1>because I don't know what the publication scheduled for our

0:32:28.320 --> 0:32:30.720
<v Speaker 1>videos are, so you might be getting a preview right now.

0:32:31.080 --> 0:32:33.360
<v Speaker 1>But it was really neat to look into this and

0:32:33.480 --> 0:32:37.280
<v Speaker 1>see the design and see how it moves, um and

0:32:37.360 --> 0:32:39.920
<v Speaker 1>I was really impressed by it. One other thing I

0:32:39.960 --> 0:32:41.600
<v Speaker 1>want to add is you might think, all right, so

0:32:41.840 --> 0:32:43.840
<v Speaker 1>what are these robotic hands for. I mean, they're not

0:32:43.920 --> 0:32:48.640
<v Speaker 1>attached to a robot that's disembodied hand. So some of

0:32:48.680 --> 0:32:51.480
<v Speaker 1>it is tell operation that idea of being able to

0:32:51.520 --> 0:32:55.400
<v Speaker 1>control a robotic hand with a human controller to operate

0:32:55.440 --> 0:32:57.040
<v Speaker 1>something that you might not want to be in the

0:32:57.160 --> 0:33:00.920
<v Speaker 1>area for, like you're handling toxic material reels, for example.

0:33:01.280 --> 0:33:03.880
<v Speaker 1>But another one is you could actually use this to

0:33:04.040 --> 0:33:07.800
<v Speaker 1>outfit a robot with these robotic hands. So if your

0:33:07.920 --> 0:33:09.920
<v Speaker 1>robot has big old hooks at the end of its

0:33:10.000 --> 0:33:12.800
<v Speaker 1>arms and you're like, finally the hands have come in,

0:33:13.400 --> 0:33:16.600
<v Speaker 1>you can you can rip the hooks out, dump the

0:33:16.640 --> 0:33:21.280
<v Speaker 1>hands on. Congratulations clamps. You're getting some fingers, right, Yeah.

0:33:21.320 --> 0:33:23.840
<v Speaker 1>So the shadow hand, like we said, has been involved

0:33:23.840 --> 0:33:26.120
<v Speaker 1>in like it's been used as a model for some

0:33:26.280 --> 0:33:30.400
<v Speaker 1>university research. And one university that I have seen plenty

0:33:30.440 --> 0:33:34.160
<v Speaker 1>of interesting robotic hand research associated with is the University

0:33:34.200 --> 0:33:38.000
<v Speaker 1>of Washington UH and a couple of researchers who have

0:33:38.120 --> 0:33:41.280
<v Speaker 1>been associated with the University of Washington. Earlier this year,

0:33:41.600 --> 0:33:43.440
<v Speaker 1>there was a cool piece in the I Triple A

0:33:43.560 --> 0:33:47.400
<v Speaker 1>Spectrum about them creating this bio memetic hand that was

0:33:47.640 --> 0:33:50.120
<v Speaker 1>trying to take the five fingered hand approach to make

0:33:50.160 --> 0:33:54.600
<v Speaker 1>it more like the skeletal and muscular structure of a

0:33:54.720 --> 0:33:58.160
<v Speaker 1>real human hand. And they went to great lengths to

0:33:58.280 --> 0:34:00.920
<v Speaker 1>make sure that they could do that is super cool.

0:34:00.960 --> 0:34:04.120
<v Speaker 1>The way they did also, depending on your point of view,

0:34:04.120 --> 0:34:08.040
<v Speaker 1>maybe a little creepy. So so you know, our our

0:34:08.120 --> 0:34:11.120
<v Speaker 1>normal robotic hands, which is a weird sentence the way

0:34:11.160 --> 0:34:15.560
<v Speaker 1>to start a sentence, but but your traditional robotic hand

0:34:15.680 --> 0:34:19.480
<v Speaker 1>it's it's trying to mimic what a human hand can do,

0:34:20.080 --> 0:34:23.080
<v Speaker 1>and might be somewhat based upon the structure of a

0:34:23.160 --> 0:34:25.960
<v Speaker 1>human hand, but we have to take a lot of liberties, right,

0:34:26.000 --> 0:34:30.800
<v Speaker 1>like using hinges or gimbals in order to replicate a joint,

0:34:31.040 --> 0:34:34.600
<v Speaker 1>for example, and it's not gonna have bones like your hand, right,

0:34:34.640 --> 0:34:37.719
<v Speaker 1>And also might mean that the the motion that you

0:34:37.800 --> 0:34:40.840
<v Speaker 1>get out of such a hand is not truly representative

0:34:40.840 --> 0:34:43.319
<v Speaker 1>of what a human hand does, or what it can

0:34:43.360 --> 0:34:47.840
<v Speaker 1>do or what it cannot do. And that becomes important

0:34:47.880 --> 0:34:49.680
<v Speaker 1>when you want a robot to be able to interact

0:34:49.719 --> 0:34:52.160
<v Speaker 1>with our human world, right, you want the robot to

0:34:52.200 --> 0:34:54.279
<v Speaker 1>be able to do essentially the same sort of things

0:34:54.280 --> 0:34:57.640
<v Speaker 1>a human can do and avoid the stuff that humans

0:34:57.680 --> 0:35:00.080
<v Speaker 1>can't do because it's irrelevant within the hum in the

0:35:00.120 --> 0:35:03.839
<v Speaker 1>world unless it's something that ends up being useful. Right.

0:35:04.239 --> 0:35:08.040
<v Speaker 1>So they decided that instead of just using these hinges

0:35:08.080 --> 0:35:10.080
<v Speaker 1>and gimbals, they wanted to take a different approach. So

0:35:10.120 --> 0:35:13.839
<v Speaker 1>they took a dead person's hand, a cadaver, a skeleton

0:35:14.040 --> 0:35:17.000
<v Speaker 1>from a cadaver, actually a skeletal hand, and then they

0:35:17.080 --> 0:35:19.680
<v Speaker 1>scanned it with a laser scanner. So they got a

0:35:19.760 --> 0:35:23.520
<v Speaker 1>really accurate scan of the bones in a human hand,

0:35:23.560 --> 0:35:26.480
<v Speaker 1>and then they use the three D printer to replicate

0:35:26.600 --> 0:35:29.960
<v Speaker 1>that by printing out artificial bones. Now, this meant that

0:35:30.000 --> 0:35:34.280
<v Speaker 1>the joints where the finger the finger segments all meet together,

0:35:35.200 --> 0:35:38.440
<v Speaker 1>they are exactly the way human joints are. So it

0:35:38.480 --> 0:35:43.200
<v Speaker 1>doesn't have the mechanical element of like a hinge or

0:35:43.239 --> 0:35:46.440
<v Speaker 1>a gimbal, like a screw or something like that. You

0:35:46.719 --> 0:35:49.799
<v Speaker 1>actually need ligaments, yeah, because it's otherwise it's just a

0:35:49.920 --> 0:35:52.799
<v Speaker 1>ball and socket correct, right yeah yeah, just if yeah,

0:35:52.800 --> 0:35:55.520
<v Speaker 1>I'll just fall apart. It won't won't do anything. Um,

0:35:55.600 --> 0:35:58.839
<v Speaker 1>so yeah, they use artificial ligaments. Uh. They also talked

0:35:58.880 --> 0:36:01.560
<v Speaker 1>about it was particularly full for the thumbs because the

0:36:01.600 --> 0:36:04.960
<v Speaker 1>thumb joints are are a little more advanced in a

0:36:05.000 --> 0:36:07.440
<v Speaker 1>way you can you could say, then the finger joints

0:36:07.440 --> 0:36:09.239
<v Speaker 1>are the base of the thumb. You can do a

0:36:09.239 --> 0:36:12.319
<v Speaker 1>lot more motion than just bending it down. Again, we're

0:36:12.360 --> 0:36:14.799
<v Speaker 1>looking at our hands and playing with them. This is great.

0:36:14.840 --> 0:36:16.720
<v Speaker 1>I can't wait till we do the episode on feet

0:36:16.760 --> 0:36:18.720
<v Speaker 1>and then we're all like this was a terrible idea.

0:36:19.640 --> 0:36:27.120
<v Speaker 1>So uh, they nobody cares. Just wait, we're gonna get

0:36:27.160 --> 0:36:30.640
<v Speaker 1>a request now. So the muscles, though the muscles in

0:36:30.640 --> 0:36:35.319
<v Speaker 1>the hand are simulated by ten dyna mixel servos and

0:36:35.400 --> 0:36:40.840
<v Speaker 1>so they're using uh, mechanical servos to pull uh, the

0:36:40.840 --> 0:36:45.520
<v Speaker 1>the cables that are replicating the muscles tendons. Yeah, and

0:36:45.520 --> 0:36:49.000
<v Speaker 1>that controls whether the fingers are open or closed and

0:36:49.080 --> 0:36:51.760
<v Speaker 1>the various motions of the hand. Uh. And they actually

0:36:51.840 --> 0:36:54.880
<v Speaker 1>route the cable in a way that is similar to

0:36:55.000 --> 0:36:58.480
<v Speaker 1>the carpal tunnel of your your wrist and hands, so

0:36:58.520 --> 0:37:01.719
<v Speaker 1>that maybe this robotic can could get carbal tunnel syndrome. Well,

0:37:01.800 --> 0:37:03.919
<v Speaker 1>you know if it, if it actually worked long enough,

0:37:04.000 --> 0:37:06.640
<v Speaker 1>then you would imagine that those cables would eventually wear

0:37:06.680 --> 0:37:09.480
<v Speaker 1>out and so you would have to do some surgery

0:37:09.520 --> 0:37:11.000
<v Speaker 1>on it. I doubt it would have to wear a

0:37:11.040 --> 0:37:15.640
<v Speaker 1>brace afterward, but you might uns it to feel pain,

0:37:16.040 --> 0:37:19.120
<v Speaker 1>right yeah, which I mean, come on, that's got to

0:37:19.160 --> 0:37:20.920
<v Speaker 1>be on the list. But that's a funny thing to

0:37:20.960 --> 0:37:24.239
<v Speaker 1>point out because it does highlights another possible use for

0:37:24.360 --> 0:37:29.280
<v Speaker 1>an extremely accurate replication of a human hand with a robot,

0:37:29.320 --> 0:37:32.560
<v Speaker 1>which would be hands used for medical research. Yes, like

0:37:32.600 --> 0:37:34.759
<v Speaker 1>if you wanted to use a robotic hand in some

0:37:34.840 --> 0:37:39.279
<v Speaker 1>kind of futuristic setting, maybe as a scaffolding for regrowing

0:37:39.320 --> 0:37:43.560
<v Speaker 1>regenerative tissue, or as a or as a model for

0:37:43.760 --> 0:37:47.200
<v Speaker 1>replacing a human hand like Luke Skywalker and Empire strikes

0:37:47.239 --> 0:37:50.560
<v Speaker 1>by giving somebody a fully functional robotic hand. Now, we

0:37:50.560 --> 0:37:54.719
<v Speaker 1>we have some hand prostheses today that are sort of

0:37:54.719 --> 0:37:57.799
<v Speaker 1>referred to as robotic hands, but they're not quite as

0:37:57.840 --> 0:38:00.719
<v Speaker 1>functional as a real hand would be, right, And and

0:38:00.880 --> 0:38:03.120
<v Speaker 1>they in fact have said that that was their intent

0:38:03.320 --> 0:38:06.239
<v Speaker 1>to create a platform that could be used in such

0:38:06.280 --> 0:38:10.040
<v Speaker 1>a way. Also, you can control this hand using a Waldo.

0:38:10.360 --> 0:38:12.160
<v Speaker 1>And I just wanted to bring that in because it's

0:38:12.239 --> 0:38:14.279
<v Speaker 1>one of those terms that you've probably heard if you've

0:38:14.480 --> 0:38:18.360
<v Speaker 1>ever worked with puppetry. Uh, the puppeteers who are using

0:38:18.400 --> 0:38:22.640
<v Speaker 1>a digital electronic puppets often use a Waldo to control them. Essentially,

0:38:22.719 --> 0:38:26.239
<v Speaker 1>that's a remote manipulator. It's named after a character from

0:38:26.239 --> 0:38:29.520
<v Speaker 1>a short story from a Robert d. Heinland piece, Waldo,

0:38:29.600 --> 0:38:33.880
<v Speaker 1>who the guy named Waldo creates a device that does

0:38:33.920 --> 0:38:36.720
<v Speaker 1>this thing. So when people finally did create a device

0:38:36.760 --> 0:38:38.879
<v Speaker 1>that does this thing, they named it after the fictional one.

0:38:39.680 --> 0:38:43.040
<v Speaker 1>And so it allows for Tela operation. So in puppetry,

0:38:43.120 --> 0:38:45.960
<v Speaker 1>this would allow you to do something like move Hoggle's

0:38:46.080 --> 0:38:49.920
<v Speaker 1>mouth in labyrinth, so that the the actor inside the

0:38:49.960 --> 0:38:53.480
<v Speaker 1>hoggle suit isn't also having to manipulate some other control

0:38:53.560 --> 0:38:55.640
<v Speaker 1>to make the mouth move that's actually being controlled by

0:38:55.640 --> 0:38:58.040
<v Speaker 1>a puppeteer off screen. In this case, you would be

0:38:58.080 --> 0:39:02.319
<v Speaker 1>wearing a essentially like a glow with sensors on it,

0:39:02.440 --> 0:39:05.200
<v Speaker 1>so when you started moving your fingers, it would detect

0:39:05.280 --> 0:39:07.640
<v Speaker 1>the motions and then translate that into commands that the

0:39:07.760 --> 0:39:10.800
<v Speaker 1>robotic hand would follow, and it would mimic the motions

0:39:10.800 --> 0:39:13.960
<v Speaker 1>that you make with your hand with just a slight delay.

0:39:14.080 --> 0:39:17.600
<v Speaker 1>So it's a little it's a little eerie to watch,

0:39:17.760 --> 0:39:21.360
<v Speaker 1>but also really cool. Yeah, So we mentioned that that

0:39:21.440 --> 0:39:24.640
<v Speaker 1>research was associated with the University of Washington, but there's

0:39:24.640 --> 0:39:27.000
<v Speaker 1>some more that we want to point to. Uh. For example,

0:39:27.000 --> 0:39:30.480
<v Speaker 1>there was one group of researchers who in May of sixteen,

0:39:30.520 --> 0:39:34.000
<v Speaker 1>they're they're presenting a conference present I think the presentation

0:39:34.080 --> 0:39:36.160
<v Speaker 1>hasn't actually happened yet on the day we're recording this,

0:39:36.200 --> 0:39:39.840
<v Speaker 1>but the paper has been released online presenting a conference

0:39:39.880 --> 0:39:44.759
<v Speaker 1>paper called Optimal Control with Learned Local Models Application to

0:39:44.880 --> 0:39:49.359
<v Speaker 1>Dexterous Manipulation. And this is research about machine learning for

0:39:49.520 --> 0:39:53.439
<v Speaker 1>programming robotic hands. Now they're working off of a sort

0:39:53.440 --> 0:39:57.440
<v Speaker 1>of modified shadow hand model that they came up with

0:39:57.520 --> 0:40:00.720
<v Speaker 1>actually detailed this in an earlier conference present station paper.

0:40:01.160 --> 0:40:04.040
<v Speaker 1>So in the earlier paper, they bought a shadow hand

0:40:04.160 --> 0:40:08.400
<v Speaker 1>robotic hand to use for testing advanced control schemes that

0:40:08.440 --> 0:40:10.439
<v Speaker 1>they were trying to come up with with in their

0:40:10.680 --> 0:40:14.840
<v Speaker 1>robotic hand movement laboratory laboratory. But they did some testing

0:40:14.840 --> 0:40:17.480
<v Speaker 1>and they found that the actuation wasn't fast enough for

0:40:17.560 --> 0:40:20.640
<v Speaker 1>the dexterous object manipulation they were going for. So in

0:40:20.680 --> 0:40:25.000
<v Speaker 1>this first paper they described essentially a pneumatic actuation system

0:40:25.080 --> 0:40:27.279
<v Speaker 1>to improve the design to make it faster, and they

0:40:27.320 --> 0:40:30.160
<v Speaker 1>emphasized that their goal was not to build new hardware

0:40:30.200 --> 0:40:32.719
<v Speaker 1>for its own sake, but sort of in furtherance of

0:40:32.760 --> 0:40:37.239
<v Speaker 1>designing newer, better control schemes for robotic hands. Uh so,

0:40:37.280 --> 0:40:40.160
<v Speaker 1>what's the deal with the control schemes. Well, this team

0:40:40.200 --> 0:40:43.160
<v Speaker 1>of engineers and computer scientists from University of Washington, a

0:40:43.160 --> 0:40:46.000
<v Speaker 1>couple of a couple of the same as that previous paper.

0:40:46.360 --> 0:40:49.640
<v Speaker 1>They designed a system for robotic manipulation that can learn

0:40:49.840 --> 0:40:54.920
<v Speaker 1>tricks of dexterity from experience. And that was that paper

0:40:54.960 --> 0:40:58.040
<v Speaker 1>title I mentioned, So that the lead author, Vikesh Kumar.

0:40:58.480 --> 0:41:01.400
<v Speaker 1>He's a doctoral student at the University of Washington studying

0:41:01.400 --> 0:41:05.480
<v Speaker 1>computer science and engineering uh and he he explained the

0:41:05.520 --> 0:41:08.719
<v Speaker 1>context for his paper by saying, quote, hand manipulation is

0:41:08.719 --> 0:41:11.640
<v Speaker 1>one of the hardest problems that roboticists have to solve.

0:41:11.880 --> 0:41:14.920
<v Speaker 1>A lot of robots today have pretty capable arms, but

0:41:15.040 --> 0:41:18.080
<v Speaker 1>the hand is as simple as a suction cup or

0:41:18.120 --> 0:41:20.359
<v Speaker 1>maybe a claw or a gripper, so they're on our

0:41:20.400 --> 0:41:25.759
<v Speaker 1>frequency clause grippers, yea, not clamps, but there may be

0:41:25.840 --> 0:41:28.000
<v Speaker 1>wisdom and a clamp, but it can't twirl a baton.

0:41:28.600 --> 0:41:31.920
<v Speaker 1>Uh Now. So the goal was to advance a control

0:41:31.960 --> 0:41:36.680
<v Speaker 1>scheme to create dextrous movements for a pneumatically actuated so

0:41:36.760 --> 0:41:40.640
<v Speaker 1>that's pneumatic movements, you know, air air pressure. Uh. Tendon

0:41:40.800 --> 0:41:44.120
<v Speaker 1>driven twenty four degree of freedom robotic hand. So this

0:41:44.200 --> 0:41:47.239
<v Speaker 1>is building off hardware ideas that they established in the

0:41:47.239 --> 0:41:51.400
<v Speaker 1>previous research. And this this thing would have forty tendons,

0:41:51.520 --> 0:41:54.719
<v Speaker 1>twenty four joints, and more than a hundred and thirty censers.

0:41:55.480 --> 0:41:58.399
<v Speaker 1>Because even if you have a great robotic hand with

0:41:58.560 --> 0:42:01.840
<v Speaker 1>vast nimble hardware and feedback sensors and all that stuff,

0:42:02.280 --> 0:42:06.719
<v Speaker 1>how does it know what to do? Right? Think about

0:42:06.760 --> 0:42:09.319
<v Speaker 1>the way you you reach out with your hand and

0:42:09.400 --> 0:42:12.000
<v Speaker 1>pick up a grape and then toss the grape into

0:42:12.040 --> 0:42:13.880
<v Speaker 1>your mouth. If you can do that, can you guys

0:42:13.880 --> 0:42:15.960
<v Speaker 1>do that? I would probably hit myself in the eyeball.

0:42:16.120 --> 0:42:18.919
<v Speaker 1>I practice sometimes, and it's it's harder than it looks.

0:42:19.000 --> 0:42:21.600
<v Speaker 1>They make it look easy in the cartoons. But anyway,

0:42:22.120 --> 0:42:24.800
<v Speaker 1>it's not just one motion there. There is a series

0:42:24.880 --> 0:42:30.160
<v Speaker 1>of probably hundreds of individual muscle contractions and micromotions to

0:42:30.239 --> 0:42:33.200
<v Speaker 1>do this one task that seems really fluid and simple

0:42:33.239 --> 0:42:37.520
<v Speaker 1>at the micro at the macro level. But imagine if

0:42:37.520 --> 0:42:40.600
<v Speaker 1>you're programming a robot hand to do the same thing.

0:42:41.200 --> 0:42:44.279
<v Speaker 1>Would you literally want to have to figure out how

0:42:44.320 --> 0:42:49.239
<v Speaker 1>to explicitly program what every single muscle equivalent actuator has

0:42:49.280 --> 0:42:54.040
<v Speaker 1>to do at every moment in this action. I wouldn't. Yeah.

0:42:54.080 --> 0:42:56.720
<v Speaker 1>So one of the authors on the paper, the senior

0:42:56.760 --> 0:42:59.680
<v Speaker 1>author and lab director Imo Todorov. He was quoted in

0:42:59.719 --> 0:43:03.320
<v Speaker 1>a University of Washington press release explaining this. So he says, quote,

0:43:03.680 --> 0:43:06.920
<v Speaker 1>usually people look at motion and try to determine what

0:43:07.200 --> 0:43:10.799
<v Speaker 1>exactly needs to happen. The pinky needs to move that way.

0:43:10.880 --> 0:43:13.000
<v Speaker 1>So we'll put some rules in and try it and

0:43:13.040 --> 0:43:15.680
<v Speaker 1>if something doesn't work, oh, the middle finger moved too

0:43:15.800 --> 0:43:19.080
<v Speaker 1>much and the pin tilted, will try another rule. So

0:43:19.320 --> 0:43:24.520
<v Speaker 1>he compares many robotic manipulation systems essentially to an animated film.

0:43:24.560 --> 0:43:27.400
<v Speaker 1>And I like this comparison because it looks great, But

0:43:27.520 --> 0:43:32.080
<v Speaker 1>that's because it's been meticulously specified by programmers in advance.

0:43:32.480 --> 0:43:34.399
<v Speaker 1>And this system, on the other hand, the one they're

0:43:34.400 --> 0:43:36.600
<v Speaker 1>coming up with and describing in this new paper, is

0:43:36.640 --> 0:43:40.960
<v Speaker 1>more independent, which is important if you want a generalist

0:43:41.080 --> 0:43:45.640
<v Speaker 1>robot that can interact within a human environment. Obviously you

0:43:45.680 --> 0:43:50.640
<v Speaker 1>don't want to have to program every single conceivable interaction

0:43:50.680 --> 0:43:52.680
<v Speaker 1>this robot might have, because you know you're never going

0:43:52.760 --> 0:43:54.279
<v Speaker 1>to be able to do that. Yeah, you can't. It's

0:43:54.360 --> 0:43:57.600
<v Speaker 1>it's like that would be an exhausting choosier and adventure.

0:43:57.680 --> 0:43:59.200
<v Speaker 1>It could. It could be one where you send the

0:43:59.280 --> 0:44:02.440
<v Speaker 1>robot out and you're like, guys, we did great work today.

0:44:02.480 --> 0:44:05.200
<v Speaker 1>Did anyone remember what to tell the robot to do

0:44:05.280 --> 0:44:08.600
<v Speaker 1>if it ever picks up a knife? Get it back? Yeah?

0:44:08.640 --> 0:44:10.120
<v Speaker 1>I mean it seems to me that if we want

0:44:10.120 --> 0:44:13.320
<v Speaker 1>to have good generalist robots with like a humanoid range

0:44:13.320 --> 0:44:15.480
<v Speaker 1>of hand motions, we're gonna have to go to the

0:44:15.480 --> 0:44:18.680
<v Speaker 1>machine learning round. I have a hard time imagining how

0:44:18.760 --> 0:44:21.120
<v Speaker 1>all of the motions of such a machine could be

0:44:21.160 --> 0:44:24.840
<v Speaker 1>explicitly programmed. That seems to me almost like trying to

0:44:24.880 --> 0:44:28.040
<v Speaker 1>imagine a natural language chatbot that has all of its

0:44:28.080 --> 0:44:33.040
<v Speaker 1>conversation explicitly programmed. It's just ridiculous. You couldn't do it. Uh,

0:44:33.239 --> 0:44:35.800
<v Speaker 1>It's probably not quite on that level, but seems close.

0:44:36.640 --> 0:44:38.840
<v Speaker 1>But anyway, So what did they do well? The University

0:44:38.840 --> 0:44:41.600
<v Speaker 1>of Washington team has a computer simulation of the hand

0:44:41.680 --> 0:44:44.359
<v Speaker 1>that can analyze its movements in real time and this

0:44:44.400 --> 0:44:47.000
<v Speaker 1>can help teach the robot hand how to improve its

0:44:47.040 --> 0:44:50.880
<v Speaker 1>motions through machine learning. That their term is reinforcement learning

0:44:50.960 --> 0:44:53.640
<v Speaker 1>or r L UH and in the paper they describe

0:44:53.680 --> 0:44:57.040
<v Speaker 1>their r L algorithm. It is vastly complex and I

0:44:57.160 --> 0:45:00.120
<v Speaker 1>don't understand a bit of it, but it's online if

0:45:00.120 --> 0:45:02.080
<v Speaker 1>you want to go check it out yourself. But they

0:45:02.160 --> 0:45:05.759
<v Speaker 1>used this optimized control strategies for the hand, uh and

0:45:06.520 --> 0:45:10.120
<v Speaker 1>to use it to reach target poses and to manipulate

0:45:10.160 --> 0:45:14.360
<v Speaker 1>a cylindrical object object. And Jonathan, what is that cylindrical object?

0:45:14.440 --> 0:45:17.080
<v Speaker 1>It's a plastic two filled with coffee beans. Not sure

0:45:17.160 --> 0:45:19.800
<v Speaker 1>why they picked full of coffee beans. But I like it.

0:45:20.360 --> 0:45:23.920
<v Speaker 1>They're probably on hand to speak. I don't think they

0:45:23.960 --> 0:45:25.920
<v Speaker 1>just I didn't find anywhere in the paper where they

0:45:25.920 --> 0:45:28.799
<v Speaker 1>described why coffee beans. Unless I missed it, I can't

0:45:28.800 --> 0:45:31.160
<v Speaker 1>put my finger on it. Yeah, but anyway, apparently the

0:45:31.480 --> 0:45:36.120
<v Speaker 1>very first um jamming transition ball was also a balloon

0:45:36.200 --> 0:45:41.319
<v Speaker 1>filled with ground coffee. Wow. I think it's just scientists

0:45:41.400 --> 0:45:44.440
<v Speaker 1>like coffee. Oh yeah, they just have a lot on me.

0:45:45.000 --> 0:45:49.360
<v Speaker 1>There's got to be a study on it. But anyway,

0:45:49.600 --> 0:45:52.279
<v Speaker 1>there's a video demonstration they put online where they gave

0:45:52.320 --> 0:45:54.759
<v Speaker 1>the robot a task and what it is is twirling

0:45:54.840 --> 0:45:58.160
<v Speaker 1>in elongated tube of coffee beans in its hand, and

0:45:58.600 --> 0:46:03.319
<v Speaker 1>it's using machine learning algorithms to work in steps to

0:46:03.480 --> 0:46:07.640
<v Speaker 1>slowly teach itself how to rotate this object in its palm.

0:46:07.760 --> 0:46:09.880
<v Speaker 1>So it sort of starts with it laying across the

0:46:09.880 --> 0:46:12.720
<v Speaker 1>palm and it's trying to move its fingers to twist

0:46:12.760 --> 0:46:15.480
<v Speaker 1>it out like a baton right that it's handing off

0:46:15.520 --> 0:46:17.439
<v Speaker 1>to you. And I watched this video, and I gotta

0:46:17.520 --> 0:46:19.880
<v Speaker 1>be honest with you, when it got to the point

0:46:19.920 --> 0:46:23.000
<v Speaker 1>where it reached the success rate, I wasn't entirely sure.

0:46:23.280 --> 0:46:26.880
<v Speaker 1>At what point did we pass the fail. But I

0:46:26.920 --> 0:46:29.040
<v Speaker 1>will say that it makes sense that this is a

0:46:29.080 --> 0:46:31.480
<v Speaker 1>complicated because you think about it's a tube that's filled

0:46:31.520 --> 0:46:34.800
<v Speaker 1>with it's not packed. It's not completely packed with so

0:46:34.920 --> 0:46:38.960
<v Speaker 1>stuff from shifts to the weight shifts exactly. Yeah, so

0:46:39.040 --> 0:46:42.239
<v Speaker 1>it is trickier than what it sounds like upon when

0:46:42.280 --> 0:46:44.400
<v Speaker 1>you first hear it. Right. Well, I mean it seems

0:46:44.400 --> 0:46:47.359
<v Speaker 1>easy for you because it's intuitive because you've already done that,

0:46:47.800 --> 0:46:50.840
<v Speaker 1>not machine learning, but your equivalent, the bio learning throughout

0:46:51.239 --> 0:46:54.279
<v Speaker 1>throughout your early years, spinning how to manipulate object. I've

0:46:54.280 --> 0:46:57.440
<v Speaker 1>been twirling tubes of coffee beans for decades. But if

0:46:57.480 --> 0:47:00.880
<v Speaker 1>you watch a toddler try to manipulate object, it's hilarious

0:47:00.920 --> 0:47:03.440
<v Speaker 1>with their hands. Yeah, yeah, they'll drop stuff and they

0:47:03.440 --> 0:47:05.959
<v Speaker 1>don't know how to do it right. Watching babies trying

0:47:05.960 --> 0:47:09.759
<v Speaker 1>to feed themselves, they can't operate the objects yet, the

0:47:09.800 --> 0:47:12.000
<v Speaker 1>fork or anything. Like. I feel the same way every

0:47:12.040 --> 0:47:14.040
<v Speaker 1>time I try to eat a salad because like, the

0:47:14.120 --> 0:47:17.280
<v Speaker 1>leaves are all different sizes and I just I can't.

0:47:16.800 --> 0:47:21.240
<v Speaker 1>I cannot put them in my face. Yeah, it's I'm

0:47:21.480 --> 0:47:24.560
<v Speaker 1>terrible at human ng. Yeah, I got it. Um, I

0:47:24.640 --> 0:47:27.959
<v Speaker 1>understand entirely. You must be getting bad salads. I they're

0:47:28.000 --> 0:47:31.719
<v Speaker 1>great salads. They're just they're just randomly sized just so

0:47:31.800 --> 0:47:33.880
<v Speaker 1>you get that wedge salad. You just look at your like,

0:47:34.880 --> 0:47:38.000
<v Speaker 1>my arch nemesis, we meet again at any rate. I

0:47:38.000 --> 0:47:41.160
<v Speaker 1>I do find it really fascinating that they're focusing on

0:47:41.239 --> 0:47:46.560
<v Speaker 1>pneumatics for for this research, as opposed to the electrical

0:47:46.840 --> 0:47:50.640
<v Speaker 1>motors as actuators, which which I think have been more

0:47:50.680 --> 0:47:54.440
<v Speaker 1>so the standard, like the historically speaking, it was an outlier,

0:47:54.960 --> 0:47:57.279
<v Speaker 1>a couple of outliers that were neeumatic, and so's it's

0:47:57.280 --> 0:47:59.560
<v Speaker 1>cool that that technology is coming around again. Yeah. If

0:47:59.600 --> 0:48:02.800
<v Speaker 1>you watch these hands go through all their degrees of motion,

0:48:02.920 --> 0:48:05.879
<v Speaker 1>like doing all the different joint movements as fast as

0:48:05.920 --> 0:48:09.560
<v Speaker 1>they can, it's pretty funny. It's like, uh, just fingers

0:48:09.560 --> 0:48:12.040
<v Speaker 1>slamming back and forth, and yeah, you hear a lot

0:48:12.040 --> 0:48:15.680
<v Speaker 1>of clacking. Yeah, well, wouldn't that be a great scene

0:48:15.680 --> 0:48:17.719
<v Speaker 1>in a horror movie like this, So there's a there's

0:48:17.719 --> 0:48:20.279
<v Speaker 1>a mad robot with humanoid hands coming for you, you

0:48:20.360 --> 0:48:23.440
<v Speaker 1>just hear the clacking fingers clacking up and down, or

0:48:23.560 --> 0:48:26.200
<v Speaker 1>or another great scene you see, uh, what you had

0:48:26.239 --> 0:48:29.600
<v Speaker 1>presumed to be a human character this whole time, just

0:48:29.719 --> 0:48:32.040
<v Speaker 1>lift up their hand and then go through that sequence

0:48:32.120 --> 0:48:34.800
<v Speaker 1>super fast and you're like, all right, that's not a person.

0:48:35.880 --> 0:48:39.240
<v Speaker 1>No human can do that. So one last thing about

0:48:39.480 --> 0:48:41.520
<v Speaker 1>this method that they came up with in the hand

0:48:41.560 --> 0:48:44.360
<v Speaker 1>that they're using is that it's expensive at this point.

0:48:44.400 --> 0:48:47.600
<v Speaker 1>So it's not cost effective for their method to be uh,

0:48:47.760 --> 0:48:52.279
<v Speaker 1>sort of exported for industrial use or something. Right now,

0:48:52.320 --> 0:48:54.680
<v Speaker 1>it's a research model, So what they're saying is it's

0:48:54.840 --> 0:48:59.439
<v Speaker 1>to improve core robotics principles. And so what they're trying

0:48:59.440 --> 0:49:02.400
<v Speaker 1>to do is come up with control schemes, systems for

0:49:02.560 --> 0:49:06.799
<v Speaker 1>designing control four hands of this kind, and hopefully they're

0:49:06.840 --> 0:49:09.879
<v Speaker 1>researching conjunction with other types of research along these lines

0:49:09.920 --> 0:49:12.319
<v Speaker 1>going on around the around the world, can help sort

0:49:12.320 --> 0:49:16.239
<v Speaker 1>of build up a robotic control scheme consensus that will

0:49:16.280 --> 0:49:21.080
<v Speaker 1>allow us to have better, smarter control of objects even

0:49:21.080 --> 0:49:24.000
<v Speaker 1>with the good hardware we have today. Yeah, so not

0:49:24.160 --> 0:49:27.399
<v Speaker 1>even with that applying to the good hardware we have today.

0:49:27.440 --> 0:49:29.360
<v Speaker 1>So we can think of it as like primary research

0:49:29.400 --> 0:49:33.840
<v Speaker 1>in that field as opposed to heading toward a finished product,

0:49:34.320 --> 0:49:37.319
<v Speaker 1>which it's still really interesting and uh, and we're in

0:49:37.360 --> 0:49:39.839
<v Speaker 1>the early days. I'm excited to see where that goes.

0:49:39.880 --> 0:49:43.040
<v Speaker 1>I mean, think about some of the applications we could

0:49:43.040 --> 0:49:47.080
<v Speaker 1>put a really advanced robotic hand toward. Right now, there's

0:49:47.120 --> 0:49:51.040
<v Speaker 1>the obvious one of robotic prosthetics, which we've seen some of,

0:49:51.280 --> 0:49:53.919
<v Speaker 1>like we've got the Luke arm for example. We've seen

0:49:54.040 --> 0:49:59.279
<v Speaker 1>some some pretty impressive improvements in that space, but we're

0:49:59.320 --> 0:50:05.440
<v Speaker 1>still lagging well behind what what humans have evolved into

0:50:05.560 --> 0:50:09.600
<v Speaker 1>over those millions of years. But that's clearly one use

0:50:09.680 --> 0:50:14.160
<v Speaker 1>case for robotic hands as we get them more uh well,

0:50:14.600 --> 0:50:16.839
<v Speaker 1>as they become more similar to the ones that we have.

0:50:18.080 --> 0:50:19.960
<v Speaker 1>But there are other ones we could use too. I mean,

0:50:20.000 --> 0:50:24.320
<v Speaker 1>like you you mentioned the using it actually not to

0:50:24.360 --> 0:50:29.080
<v Speaker 1>replace a hand, but perhaps as a platform upon which

0:50:29.160 --> 0:50:35.000
<v Speaker 1>you could study and research and develop regenerative medical procedures. Yeah. Sure,

0:50:35.080 --> 0:50:37.919
<v Speaker 1>regenerative tissues. I mean that's going to be I think

0:50:37.960 --> 0:50:41.719
<v Speaker 1>a burgeoning field in future years. Yeah, I think it'll

0:50:41.760 --> 0:50:46.040
<v Speaker 1>be really interesting to see, uh where this goes, right,

0:50:46.160 --> 0:50:49.920
<v Speaker 1>whether or not we do see more generalist robots enter

0:50:50.000 --> 0:50:52.440
<v Speaker 1>into the scene, because, as we pointed out, the hands

0:50:52.440 --> 0:50:55.520
<v Speaker 1>are just one aspect of how tricky it is to

0:50:55.640 --> 0:50:58.319
<v Speaker 1>design a robot that is capable of moving through the

0:50:58.360 --> 0:51:01.279
<v Speaker 1>human world as a depth. As we do well let's

0:51:01.320 --> 0:51:04.719
<v Speaker 1>be clear, there is absolutely not even close to such

0:51:04.760 --> 0:51:08.440
<v Speaker 1>a thing as a good generalist robot today. It doesn't exist.

0:51:08.480 --> 0:51:11.239
<v Speaker 1>So it may very well be that within our lifetimes

0:51:11.280 --> 0:51:14.720
<v Speaker 1>we don't really see a strong generalist robot. It maybe

0:51:14.719 --> 0:51:18.120
<v Speaker 1>that we see a lot of specialized robots like the Roomba,

0:51:18.440 --> 0:51:22.359
<v Speaker 1>things that were designed to to do specific jobs and

0:51:22.440 --> 0:51:25.839
<v Speaker 1>nothing else. And uh, it may be that that's just

0:51:25.960 --> 0:51:29.400
<v Speaker 1>the status quo for several decades. Then again, I wonder

0:51:29.440 --> 0:51:32.440
<v Speaker 1>if you might have a specialist robot that may still

0:51:33.080 --> 0:51:37.239
<v Speaker 1>need humanoid hands. For example, if let's say we we

0:51:37.920 --> 0:51:41.480
<v Speaker 1>fully commit to the chef robot like Moley, you know,

0:51:41.520 --> 0:51:44.560
<v Speaker 1>with hands doing stuff all over the kitchen, and we say, now,

0:51:44.600 --> 0:51:47.640
<v Speaker 1>it's not just adding ingredients and stirring, it's also doing

0:51:47.680 --> 0:51:51.200
<v Speaker 1>all the chopping and the peeling and the washing, and

0:51:51.239 --> 0:51:53.480
<v Speaker 1>it's got to be able to handle all our foods,

0:51:53.520 --> 0:51:56.759
<v Speaker 1>handle all the kitchen utensils. In that case, I would think, well, maybe,

0:51:56.800 --> 0:51:59.400
<v Speaker 1>even though this is to some degree a specialist robot,

0:51:59.440 --> 0:52:02.239
<v Speaker 1>it needs humanoid hands, right, Or if you were going

0:52:02.280 --> 0:52:06.920
<v Speaker 1>to make a robot to change baby stipers, sure, I

0:52:06.960 --> 0:52:10.719
<v Speaker 1>guess so. I like that. I like that that's the

0:52:10.840 --> 0:52:13.280
<v Speaker 1>example you went with as opposed to something I'm seeing

0:52:13.280 --> 0:52:16.520
<v Speaker 1>in our notes right now for the first time robuts

0:52:16.560 --> 0:52:19.400
<v Speaker 1>designed for choking and strangling. Joe, I just put that

0:52:19.480 --> 0:52:21.600
<v Speaker 1>in there for a laugh. Okay, that's fair, all right,

0:52:21.680 --> 0:52:25.920
<v Speaker 1>but yeah, we we we definitely think that the the work,

0:52:26.000 --> 0:52:31.040
<v Speaker 1>the advancement. That's fair. That's fair. So if you have

0:52:31.080 --> 0:52:34.560
<v Speaker 1>any suggestions for future episodes of forward thinking, you can

0:52:34.600 --> 0:52:37.560
<v Speaker 1>email Clamps at how stuff works dot com. We will

0:52:37.600 --> 0:52:40.239
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0:52:40.320 --> 0:52:42.799
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0:52:42.880 --> 0:52:45.120
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0:52:55.200 --> 0:53:03.160
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0:53:03.200 --> 0:53:17.359
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0:53:17.440 --> 0:53:19.960
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