WEBVTT - The Robots Are Coming For Your Job!

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<v Speaker 1>Welcome to text Stuff, a production from I Heart Radio.

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<v Speaker 1>Hey there, and welcome to tech Stuff. I am your host,

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<v Speaker 1>Jonathan Strickland. I'm an executive producer with I Heart Radio

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<v Speaker 1>and I love all things tech. You know, guys, I

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<v Speaker 1>read a lot of tech news and sometimes that ends

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<v Speaker 1>up inspiring me to do an episode of text Stuff.

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<v Speaker 1>That happened to me recently when I read this headline

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<v Speaker 1>off of the website text Spot. Sony Factory assembles PS

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<v Speaker 1>four in thirty seconds, only four humans involved in the process.

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<v Speaker 1>A p S four, in case you're not aware, is

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<v Speaker 1>a PlayStation for video game consoles. So this factory can

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<v Speaker 1>build a video game console from parts in half a

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<v Speaker 1>minute and only four human beings touched the ding day

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<v Speaker 1>thing in the process. Those four humans, by the way,

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<v Speaker 1>are involved in the beginning and the end of the process.

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<v Speaker 1>Two of them load motherboards onto the assembly line, and

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<v Speaker 1>a motherboard is the primary circuit board for a computer system,

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<v Speaker 1>and the other two human beings are at the end

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<v Speaker 1>of the assembly line and their job is to package

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<v Speaker 1>the completed consoles. All the actual assembly work is done

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<v Speaker 1>by robots. Now, you may be experiencing a couple of

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<v Speaker 1>different responses to this information I know I did. One

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<v Speaker 1>of those was a wow, that's seriously impressive. The PS four,

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<v Speaker 1>like many computer systems, has a lot of components, many

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<v Speaker 1>of which attached to one another by wire or cable.

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<v Speaker 1>So these robots have to be able to take these

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<v Speaker 1>flexible components and to join them in their proper anchor

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<v Speaker 1>points with the appropriate amount of pressure and precision to

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<v Speaker 1>make a good connection. Now, if any of you out

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<v Speaker 1>there have ever built your own PC, you know that

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<v Speaker 1>plugging cables in can get a little tricky depending on

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<v Speaker 1>the layout of the motherboard and the various components. And

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<v Speaker 1>if you're someone like me, you're likely putting stuff together

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<v Speaker 1>only to realize that maybe you should have done some

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<v Speaker 1>of that before you mounted them in a computer case,

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<v Speaker 1>because now you just don't have the space to work

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<v Speaker 1>in properly. So it's pretty darn impressive that robots can

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<v Speaker 1>do this consistently and correctly at that level of speed.

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<v Speaker 1>Another response I had was it's kind of scary. I mean,

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<v Speaker 1>typically you would have dozens of people employed on the

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<v Speaker 1>assembly line to do this sort of work, but in

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<v Speaker 1>this factory it's been stripped down to thirty two robots

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<v Speaker 1>and four human beings. The article in tech spot points

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<v Speaker 1>out that twenty six of those thirty two robots are

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<v Speaker 1>just attaching flexible components together inside the console. Now, I

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<v Speaker 1>have no idea how much these robots cost, but I wait,

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<v Speaker 1>you're that they are expensive enough to equal the salary

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<v Speaker 1>of a standard human employee on the assembly line. However,

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<v Speaker 1>you don't pay robots. You do have to spend money

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<v Speaker 1>to maintain and repair them, but assuming whatever you're making

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<v Speaker 1>is going to be around for a little while, they'll

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<v Speaker 1>pay for themselves because eventually you'll get to a point

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<v Speaker 1>where the salaries you'd be paying for humans would be

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<v Speaker 1>more than the purchase and maintenance cost of the robots.

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<v Speaker 1>And the increase in efficiency means you can produce a

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<v Speaker 1>whole lot more stuff in a given amount of time

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<v Speaker 1>then you would with a human centric assembly line, so

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<v Speaker 1>you'll have more product to sell in a shorter amount

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<v Speaker 1>of time. When you start crunching numbers, you discover your

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<v Speaker 1>robotic assembly line can make more stuff at a lower

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<v Speaker 1>cost over a given period of time, like you know,

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<v Speaker 1>over a couple of years, than what you would accomplish

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<v Speaker 1>with human beings on that assembly line. So you don't

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<v Speaker 1>have to worry about the robots taking a vacation. They

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<v Speaker 1>don't take sick time, they don't even take the night off.

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<v Speaker 1>They can work around the clock. They don't need health insurance,

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<v Speaker 1>though I would guess that most companies ensure the heck

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<v Speaker 1>out of these things just in case one breaks down.

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<v Speaker 1>But from a financial point of view, they make sense

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<v Speaker 1>if you're building stuff at a large enough scale, stuff

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<v Speaker 1>like video game consoles for the PlayStation four. It's a

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<v Speaker 1>no brainer because that console has sold around one hundred

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<v Speaker 1>ten million units so far. That's a number large enough

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<v Speaker 1>that I can't even imagine what it would look like

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<v Speaker 1>if you had all those consoles together in one place.

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<v Speaker 1>So if there's enough demand for you to sell a

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<v Speaker 1>hundred ten million whatever it is you want to sell,

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<v Speaker 1>you need to have a way to make those as

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<v Speaker 1>efficiently as possible, and that will help maximize your profits.

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<v Speaker 1>And the more efficient the process, the more competitively you

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<v Speaker 1>can price your product and still make a profit. But

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<v Speaker 1>the idea of robots performing jobs far more effectively, consistently,

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<v Speaker 1>and efficiently than humans raises a lot of questions, and

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<v Speaker 1>these are not new questions either, but they are questions

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<v Speaker 1>like if more factories rely on robots for production, particularly

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<v Speaker 1>if those robots can be programmed to produce new products

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<v Speaker 1>once older ones go obsolete. What happens to the job market,

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<v Speaker 1>What happens to the millions of people who work in

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<v Speaker 1>manufacturing on assembly lines? Where will they go? What will

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<v Speaker 1>this do to economies around the world. Lots of people

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<v Speaker 1>have tried to answer these questions, sometimes giving drastically different answers.

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<v Speaker 1>And we're going to take a look at the history

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<v Speaker 1>and evolution of industrial robots in this episode and explore

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<v Speaker 1>the ramifications of automated manufacturing. And this is where I

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<v Speaker 1>dive into history. I've talked about the history of robots before,

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<v Speaker 1>so I'll try to restrict my focus to an industrial robots.

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<v Speaker 1>And before I get into that, let's just address the

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<v Speaker 1>fact that the use of machinery to increase efficiency has

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<v Speaker 1>been a controversial subject since long before there ever was

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<v Speaker 1>such a thing as a robot. Generally speaking, machines are

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<v Speaker 1>meant to make work easier, or in some cases, make

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<v Speaker 1>the work possible. Just to begin with, they are labor

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<v Speaker 1>saving devices, requiring humans to put forth less effort to

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<v Speaker 1>get the same or better results. This applies to the

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<v Speaker 1>simplest of machines. I mean stuff like levers or pulleys

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<v Speaker 1>or an inclined plane, and it applies to very complex

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<v Speaker 1>machines as well. Before the Industrial Revolution, most stuff like textiles,

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<v Speaker 1>was made by crafts people out of their own homes.

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<v Speaker 1>This was literally the cottage industry. Tradespeople would travel and

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<v Speaker 1>become the lifeline for the cottage industry, supplying raw materials,

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<v Speaker 1>buying finished products, and selling those products off at a

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<v Speaker 1>profit elsewhere. Many trades people built a good deal of

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<v Speaker 1>wealth working this way, and they had the means to

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<v Speaker 1>look at alternatives to this decentralized cottage industry approach. An

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<v Speaker 1>idea began to form. If you brought together crafts people

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<v Speaker 1>to a centralized location, and if you simplified the process

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<v Speaker 1>of production, you can make way more stuff, which in

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<v Speaker 1>turn means you could sell way more stuff, which in

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<v Speaker 1>turn means you can make way more money, and money

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<v Speaker 1>makes the world go round. This thought process helped fuel

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<v Speaker 1>a similar line of thinking. If you could design machines

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<v Speaker 1>that could do a lot of work that typically felt

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<v Speaker 1>a skilled crafts people, you wouldn't need the crafts people

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<v Speaker 1>at all. You could train anyone, even if that person

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<v Speaker 1>had no experience with the process just to work the machine.

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<v Speaker 1>And while it might take years of dedication to go

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<v Speaker 1>through the process of being an apprentice to learn a

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<v Speaker 1>trade well enough so that you can actually make a

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<v Speaker 1>living at it with a machine, you can skip right

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<v Speaker 1>over that. As long as the machines in product was

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<v Speaker 1>good enough. It didn't have to be better than the

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<v Speaker 1>stuff crafts people were making. It just had to be

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<v Speaker 1>good enough and cheap enough and fast enough to produce.

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<v Speaker 1>Then you could sell the finished product at a lower

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<v Speaker 1>cost than what craftspeople would charge because not as much

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<v Speaker 1>time and effort went into making the thing. Now, I

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<v Speaker 1>guess it's clunky to talk about this while using an example,

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<v Speaker 1>so let's go with a poster child for the Industrial Revolution. Weaving.

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<v Speaker 1>The weaving trade is an ancient one, and it requires

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<v Speaker 1>a good deal of skill to do it well by hand.

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<v Speaker 1>In the late seventeen hundreds, a man named Edmund Cartwright

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<v Speaker 1>patented a loom powered by a water wheel. The looms

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<v Speaker 1>operation was such that a person who had no training

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<v Speaker 1>and weaving could operate the machine and produce finished textiles.

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<v Speaker 1>Cartwright's design would be built upon by other inventors who

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<v Speaker 1>had turned to steam power and other means to operate

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<v Speaker 1>the power loom. Many cottage industry weavers found themselves out

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<v Speaker 1>of work. They could potentially up to work in the

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<v Speaker 1>textile factories, as those were popping up all over the place,

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<v Speaker 1>particularly in England, but the wages were low. As you

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<v Speaker 1>can imagine, this didn't sit well with the weavers. There

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<v Speaker 1>were protests, including some that incorporated violence and destruction. Ultimately,

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<v Speaker 1>the factory process one out and along with it some

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<v Speaker 1>really awful working conditions followed, including stuff like child labor

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<v Speaker 1>and ridiculously low wages and dangerous working conditions. This led

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<v Speaker 1>to more protests, including the type that would give us

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<v Speaker 1>the word sabotage. And let's get a quick side note

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<v Speaker 1>on that one, as it is the source of a

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<v Speaker 1>little mythology or misinformation. See The apocryphal story goes that

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<v Speaker 1>the word sabotage comes from the word sabot which describes

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<v Speaker 1>the wooden shoes worn by laborers, mainly Dutch laborers, but

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<v Speaker 1>also laborers in France. And according to the story, these

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<v Speaker 1>laborers wore those shoes and use them to great effect.

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<v Speaker 1>In an effort to protest the conditions and factories, they

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<v Speaker 1>would toss their wooden shoes into the machinery to break

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<v Speaker 1>the various gears and literally grind production to a halt,

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<v Speaker 1>as it were. But the story, while compelling, isn't really

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<v Speaker 1>the truth. Sabotage does stem from the words sabo, but

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<v Speaker 1>in French there is a verb sabotet. This verb means

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<v Speaker 1>to make a loud noise with wooden shoes. Now isn't

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<v Speaker 1>it great that there's a verb for that? And it

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<v Speaker 1>makes sense wooden shoes would make a great deal of

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<v Speaker 1>racket as people would walk around. Heck, if a if

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<v Speaker 1>a toddler wore wooden shoes, I think it would probably

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<v Speaker 1>sound as though the world were shaking apart. I don't

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<v Speaker 1>know how toddlers managed to sound like they weigh a

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<v Speaker 1>hundred pounds, but they do it. And if you have

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<v Speaker 1>a toddler, you know what I'm talking about. And in

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<v Speaker 1>the culture of France, the idea of a clumsy slow

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<v Speaker 1>worker was often linked to someone who wore wooden shoes

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<v Speaker 1>because they're awkward to wear anyway. The reason sabote led

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<v Speaker 1>to sabotage is because factory workers who were protesting their

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<v Speaker 1>work conditions and wages would purposefully work more slowly and

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<v Speaker 1>less efficiently. In order to affect the overall output of

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<v Speaker 1>a factory. It was related to a similar strategy that

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<v Speaker 1>British laborers employed, and their version was called kakani. It

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<v Speaker 1>was a saying from Scotland which essentially means don't do

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<v Speaker 1>so much man now. I would argue this also feeds

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<v Speaker 1>into a strategy that we see to this very day

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<v Speaker 1>in certain government offices, where the ideas there's no need

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<v Speaker 1>to do too much too quickly, as it doesn't result

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<v Speaker 1>in increased compensation, and it also sets a really high

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<v Speaker 1>bar of expectations, So why not just take it easy

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<v Speaker 1>and I don't have a coffee break now. In the

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<v Speaker 1>early twentieth century, people began to use the word sabotage

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<v Speaker 1>to really refer to a purposeful approach to undermining the

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<v Speaker 1>output of factories, and it had nothing to do with

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<v Speaker 1>tossing wooden shoes into machinery, though it did also pertain

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<v Speaker 1>to instances in which workers purposefully damaged equipment and tried

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<v Speaker 1>to slow down the production that way. While this isn't

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<v Speaker 1>directly tied to the idea that machines themselves are displacing workers,

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<v Speaker 1>it is related to the effect of moving towards a

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<v Speaker 1>manufacturing based economy and how that allow for the exploitation

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<v Speaker 1>of workers. The machines themselves aren't really at fault, but

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<v Speaker 1>they facilitate the system of operations that leads to exploitation.

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<v Speaker 1>Now that's something that will be a theme in this episode,

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<v Speaker 1>and we can't ignore the social aspect of what's going

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<v Speaker 1>on here, or else we missed the whole point. But

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<v Speaker 1>let's skip ahead. I've spoken about this before, but we

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<v Speaker 1>get the word robot from a check author named Carrol Copeck.

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<v Speaker 1>He wrote a play called Rossom's Universal Robots or Are

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<v Speaker 1>You Are? In nineteen twenty. Copeck took an older word robota,

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<v Speaker 1>which means forced labor in Europe. This concept was tied

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<v Speaker 1>to that of the old system of serfdom, in which

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<v Speaker 1>people would do work on behalf of a landowner. In return,

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<v Speaker 1>those people would be allowed to live on part of

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<v Speaker 1>that landowner's land. And Are You Are, factory owners devise

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<v Speaker 1>a way to build laborers from raw materials. Now, in

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<v Speaker 1>the play, they are indistinguishable from humans other than they

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<v Speaker 1>have no inner desires. But in the course of the play,

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<v Speaker 1>these laborers eventually take over all the jobs that humans

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<v Speaker 1>previously held, and humans themselves become a threatened species as

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<v Speaker 1>these laborers begin to understand the power that they hold

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<v Speaker 1>by occupying all the positions of employment, including as soldiers

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<v Speaker 1>in the military. And so with the introduction of the

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<v Speaker 1>concept of robot we actually get the very first robotic

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<v Speaker 1>uprising all the way back in See I told you

0:14:41.520 --> 0:14:44.760
<v Speaker 1>it was an old idea. It's important to remember that

0:14:44.960 --> 0:14:48.880
<v Speaker 1>in the play, the robots are nearly identical to humans.

0:14:48.880 --> 0:14:53.040
<v Speaker 1>They they aren't mechanical the way our robots of today are,

0:14:53.440 --> 0:14:55.840
<v Speaker 1>but the idea of creating machines that can do work

0:14:56.000 --> 0:14:59.360
<v Speaker 1>without a will of their own is a part of

0:14:59.760 --> 0:15:03.960
<v Speaker 1>row botics in general and industrial robotics in particular. When

0:15:03.960 --> 0:15:07.800
<v Speaker 1>we come back, we'll talk about the earliest industrial robots

0:15:07.840 --> 0:15:10.840
<v Speaker 1>and what they did, but first let's take a quick break.

0:15:18.480 --> 0:15:22.760
<v Speaker 1>It's interesting to me that the tech world adopted the

0:15:22.880 --> 0:15:26.120
<v Speaker 1>term robot when we think about the origins of that word.

0:15:26.520 --> 0:15:31.320
<v Speaker 1>In compex work, robots were sentient slaves. They could perform

0:15:31.360 --> 0:15:34.960
<v Speaker 1>the work humans would otherwise do, but they lack the

0:15:35.040 --> 0:15:38.920
<v Speaker 1>emotions that humans have, and the whole idea is that

0:15:39.000 --> 0:15:43.080
<v Speaker 1>these devices could do our work for us without question

0:15:43.280 --> 0:15:47.960
<v Speaker 1>or protest. They would in theory endure conditions that people

0:15:48.000 --> 0:15:52.200
<v Speaker 1>wouldn't or couldn't, but in the play, they ultimately lead

0:15:52.240 --> 0:15:55.880
<v Speaker 1>to the destruction of the human race and potentially they

0:15:55.920 --> 0:15:59.120
<v Speaker 1>become the new dominant species on the planet. Now, I

0:15:59.160 --> 0:16:02.800
<v Speaker 1>say potentially because part of the play's plot involves the

0:16:02.840 --> 0:16:06.800
<v Speaker 1>destruction of the formula that scientists use to produce the

0:16:06.880 --> 0:16:10.280
<v Speaker 1>robots in the first place. That is an important plot point.

0:16:10.360 --> 0:16:13.840
<v Speaker 1>The robots are not sure how to make more robots,

0:16:14.000 --> 0:16:17.360
<v Speaker 1>so they might just die out. Now, it seems to

0:16:17.440 --> 0:16:22.200
<v Speaker 1>me as though that's a pretty emotionally charged term to

0:16:22.280 --> 0:16:26.800
<v Speaker 1>adopt for an entire discipline of technology, right, robots, especially

0:16:26.800 --> 0:16:29.440
<v Speaker 1>if you are actually aware of that play, and by

0:16:29.440 --> 0:16:33.200
<v Speaker 1>the way, I recommend people read it. It's a good play.

0:16:33.440 --> 0:16:36.000
<v Speaker 1>But then a lot of people are not aware of

0:16:36.040 --> 0:16:38.560
<v Speaker 1>the origins of the word, or at least not beyond

0:16:38.760 --> 0:16:41.920
<v Speaker 1>knowing that it came from a play in the nineteen twenties.

0:16:41.960 --> 0:16:45.080
<v Speaker 1>So I guess for them it's just, you know, a word.

0:16:45.200 --> 0:16:48.280
<v Speaker 1>A robot by any other name would smell as sweet

0:16:48.400 --> 0:16:51.480
<v Speaker 1>as it were. And we've definitely seen the themes of

0:16:51.520 --> 0:16:54.400
<v Speaker 1>are you are serving as an undercurrent for stuff that's

0:16:54.400 --> 0:16:58.680
<v Speaker 1>happening in robotics in general. But let's move ahead. In

0:16:58.840 --> 0:17:03.200
<v Speaker 1>nineteen fifty four or an engineer named George Daval designed

0:17:03.200 --> 0:17:07.520
<v Speaker 1>an industrial robot. He was nine years old when Copic

0:17:07.680 --> 0:17:12.400
<v Speaker 1>coined the term robot. He called his design the Programmed

0:17:12.560 --> 0:17:16.760
<v Speaker 1>Article Transferred Device, for which he received a U S

0:17:16.800 --> 0:17:21.120
<v Speaker 1>patent in nineteen sixty one. This machine was a robotic arm,

0:17:21.320 --> 0:17:24.640
<v Speaker 1>and it was capable of picking up something and then

0:17:24.680 --> 0:17:28.960
<v Speaker 1>transferring it a short distance away just within reach of

0:17:29.000 --> 0:17:31.680
<v Speaker 1>the arm. The arm itself couldn't move, it was anchored

0:17:31.680 --> 0:17:34.919
<v Speaker 1>in place. It could also follow. In fact, this is

0:17:34.920 --> 0:17:37.919
<v Speaker 1>the important part. It would follow a pre program series

0:17:37.920 --> 0:17:41.720
<v Speaker 1>of instructions to do this. Daval's argument for his device

0:17:41.800 --> 0:17:44.920
<v Speaker 1>was that up to this point, mechanical handling of objects

0:17:45.200 --> 0:17:49.760
<v Speaker 1>fell into two broad categories. Either stuff got moved by humans,

0:17:50.520 --> 0:17:54.800
<v Speaker 1>typically operating a powerful machine like a crane or a forklift,

0:17:55.400 --> 0:17:58.560
<v Speaker 1>or stuff got moved by a device that operated under

0:17:58.680 --> 0:18:02.880
<v Speaker 1>cam control. Now, manual control is self explanatory, so let's

0:18:02.920 --> 0:18:09.000
<v Speaker 1>talk about cams. A cam is a rotating component in machinery. Typically,

0:18:09.320 --> 0:18:13.080
<v Speaker 1>a cam has some variation in its surface. So let's

0:18:13.080 --> 0:18:15.639
<v Speaker 1>start with a wheel. Just imagine a wheel that is

0:18:15.720 --> 0:18:19.800
<v Speaker 1>spinning on an axle. Well, You wouldn't typically have a

0:18:19.880 --> 0:18:23.600
<v Speaker 1>perfectly smooth wheel as a cam. Part of that surface

0:18:23.680 --> 0:18:27.080
<v Speaker 1>might be flat, or it might have dips in it,

0:18:27.720 --> 0:18:31.159
<v Speaker 1>and when the cam rotates, these variations apply force to

0:18:31.400 --> 0:18:35.200
<v Speaker 1>some other mechanical component that is held against the cam,

0:18:35.600 --> 0:18:38.919
<v Speaker 1>and it causes that mechanical component to move in specific ways.

0:18:40.000 --> 0:18:43.280
<v Speaker 1>A cam operating system can work on its own, but

0:18:43.560 --> 0:18:46.520
<v Speaker 1>it will always repeat the exact same motions. As long

0:18:46.720 --> 0:18:50.480
<v Speaker 1>as everything is working, it'll just repeat those steps. Once

0:18:50.520 --> 0:18:55.320
<v Speaker 1>the cams complete a full systematic rotation, you can't really

0:18:55.359 --> 0:18:58.680
<v Speaker 1>adapt it to do anything else. The movements depend entirely

0:18:58.760 --> 0:19:01.439
<v Speaker 1>on the cams themselves, so if you wanted it to

0:19:01.440 --> 0:19:03.720
<v Speaker 1>do something else, you would first have to swap out

0:19:03.880 --> 0:19:07.359
<v Speaker 1>the cams uh and even then you would be under

0:19:07.640 --> 0:19:11.480
<v Speaker 1>whatever the limitations of the device was itself, like, it

0:19:11.480 --> 0:19:14.800
<v Speaker 1>wouldn't have full range of motion. Moreover, this level of

0:19:14.840 --> 0:19:18.920
<v Speaker 1>specialization also means that it's typically really expensive to rely

0:19:19.040 --> 0:19:22.959
<v Speaker 1>upon cam based systems, so it was really only useful

0:19:23.000 --> 0:19:26.040
<v Speaker 1>if the application had to do with mass manufacturing or

0:19:26.040 --> 0:19:29.119
<v Speaker 1>else you're looking at economic loss. The cost of the

0:19:29.160 --> 0:19:32.399
<v Speaker 1>system was just too much, so Daval was proposing a

0:19:32.480 --> 0:19:36.000
<v Speaker 1>machine that could be programmed to do operations, and this

0:19:36.040 --> 0:19:40.400
<v Speaker 1>would let a programmer create different processes using the same machine,

0:19:40.880 --> 0:19:43.080
<v Speaker 1>or you could get a whole bunch of the same

0:19:43.119 --> 0:19:48.360
<v Speaker 1>basic machine and program each one to do a particular job. Meanwhile,

0:19:48.840 --> 0:19:50.879
<v Speaker 1>you'd free people up to work on other stuff in

0:19:50.920 --> 0:19:54.000
<v Speaker 1>the manufacturing process, and you could take the most dangerous

0:19:54.000 --> 0:19:56.560
<v Speaker 1>stuff and give it to the robots. Now, the story

0:19:56.600 --> 0:19:59.800
<v Speaker 1>goes that Daval was at a party in nineteen fifty

0:19:59.800 --> 0:20:01.919
<v Speaker 1>s X and he got into a conversation with a

0:20:01.960 --> 0:20:07.560
<v Speaker 1>man named Joseph Engelberger. Joseph was a scientist and an entrepreneur,

0:20:08.080 --> 0:20:12.120
<v Speaker 1>and when the subject turned to Duvall's programmed article transferred device,

0:20:12.200 --> 0:20:14.879
<v Speaker 1>as well as the work of a science fiction author

0:20:14.960 --> 0:20:18.760
<v Speaker 1>known as Isaac Asimov, you know, the father of robotics.

0:20:18.840 --> 0:20:22.240
<v Speaker 1>He famously incorporated a concept of the laws of robotics

0:20:22.240 --> 0:20:24.960
<v Speaker 1>in his works. We won't really go into that in

0:20:25.000 --> 0:20:28.360
<v Speaker 1>this episode, but the laws of robotics still play a

0:20:28.440 --> 0:20:33.040
<v Speaker 1>big part in the discipline of robotics in general, but

0:20:33.160 --> 0:20:36.880
<v Speaker 1>it's kind of outside the focus of this episode. Engelberger

0:20:37.280 --> 0:20:40.560
<v Speaker 1>used his connections to get funding for duvol to create

0:20:40.560 --> 0:20:44.000
<v Speaker 1>a more advanced version of the programmed article transfer machine,

0:20:44.520 --> 0:20:47.480
<v Speaker 1>and it would be a robotic arm capable of making repeated,

0:20:47.600 --> 0:20:51.760
<v Speaker 1>precise movements while holding very heavy objects. They called it

0:20:51.960 --> 0:20:55.919
<v Speaker 1>the Unimate you n I M A T E, and

0:20:56.000 --> 0:21:00.119
<v Speaker 1>the first prototype, Unimate zero zero one, would go to

0:21:00.280 --> 0:21:04.439
<v Speaker 1>General Motors to work on a die casting assembly line. Now,

0:21:04.480 --> 0:21:08.280
<v Speaker 1>according to the company robot Works, that's a w O

0:21:08.640 --> 0:21:12.960
<v Speaker 1>r X. This robot cost around sixty five thousand dollars

0:21:13.000 --> 0:21:16.760
<v Speaker 1>to produce, and Ingelburgers sold it off at a tremendous loss.

0:21:17.280 --> 0:21:21.480
<v Speaker 1>General Motors only paid eighteen thousand dollars for sixty five

0:21:21.480 --> 0:21:25.119
<v Speaker 1>thousand dollar machine. But Ingelberger really wanted to establish that

0:21:25.240 --> 0:21:28.840
<v Speaker 1>robotics were a way to perform repetitive, dangerous functions at

0:21:28.880 --> 0:21:33.000
<v Speaker 1>a lower risk to humans. Welding die cast components on

0:21:33.160 --> 0:21:37.200
<v Speaker 1>auto bodies was a great first application of industrial robots

0:21:37.240 --> 0:21:42.000
<v Speaker 1>for a few reasons. Die Casting is a process involving

0:21:42.160 --> 0:21:45.920
<v Speaker 1>molten metal. You take that molten metal and you force

0:21:46.000 --> 0:21:49.399
<v Speaker 1>it into steel molds, and these are water called dies.

0:21:50.160 --> 0:21:53.320
<v Speaker 1>The molten metal cools in the exact shape of the mold.

0:21:53.840 --> 0:21:56.919
<v Speaker 1>So this is a way to make or cast a

0:21:56.960 --> 0:22:00.000
<v Speaker 1>bunch of identical parts out of metal and get consisted

0:22:00.040 --> 0:22:04.240
<v Speaker 1>stent quality out of it rather than you know, forging

0:22:04.400 --> 0:22:07.720
<v Speaker 1>each piece and then fitting them together. A diet can

0:22:07.760 --> 0:22:11.560
<v Speaker 1>have complex shapes in it, such as external threads, which

0:22:11.560 --> 0:22:14.600
<v Speaker 1>means you don't have to make a pipe, for example,

0:22:14.640 --> 0:22:18.159
<v Speaker 1>and then do a secondary process on that pipe to

0:22:18.240 --> 0:22:19.919
<v Speaker 1>get the result you want. So you wouldn't have to

0:22:20.040 --> 0:22:24.360
<v Speaker 1>carve those threads into a otherwise smooth pipe. You could

0:22:24.440 --> 0:22:28.920
<v Speaker 1>just cast the pipe with the threads incorporated on it already.

0:22:29.359 --> 0:22:33.639
<v Speaker 1>But welding die cast parts onto auto bodies is hard work.

0:22:33.880 --> 0:22:36.919
<v Speaker 1>The components are really heavy, so you're at risk of

0:22:37.160 --> 0:22:40.399
<v Speaker 1>immediate injury if something goes wrong, like let's say you

0:22:40.520 --> 0:22:43.840
<v Speaker 1>drop a weighty component on your foot, or you might

0:22:44.040 --> 0:22:47.840
<v Speaker 1>develop a repetitive stress injury after going through the same

0:22:47.960 --> 0:22:52.320
<v Speaker 1>welding motions over and over again. In addition, the fumes

0:22:52.320 --> 0:22:56.200
<v Speaker 1>given off while welding where sometimes toxic still are so

0:22:56.520 --> 0:22:58.600
<v Speaker 1>it's not great to have people exposed to them for

0:22:58.680 --> 0:23:01.639
<v Speaker 1>very long. So a robot was a great substitute for

0:23:01.720 --> 0:23:04.360
<v Speaker 1>a person. The robot could handle much greater weight than

0:23:04.400 --> 0:23:07.760
<v Speaker 1>people could. The robot didn't breathe, so there was no

0:23:08.000 --> 0:23:11.440
<v Speaker 1>respiratory issue there, and it didn't get tired. I mean

0:23:11.480 --> 0:23:14.040
<v Speaker 1>it would wear down over time, but you could repair

0:23:14.080 --> 0:23:18.080
<v Speaker 1>it in fairly short order. The Unimate worked with computer

0:23:18.119 --> 0:23:23.040
<v Speaker 1>controlled hydraulic systems. Hydraulic system uses a liquid that's under

0:23:23.080 --> 0:23:26.639
<v Speaker 1>pressure in order to do work like pushing against a

0:23:26.680 --> 0:23:29.680
<v Speaker 1>piston to power and actuator of some sort like lift

0:23:29.720 --> 0:23:34.439
<v Speaker 1>a platform. The Unimate zero zero one weighed twenty seven

0:23:34.600 --> 0:23:39.399
<v Speaker 1>hundred pounds or about one thousand two ms, and it

0:23:39.440 --> 0:23:42.200
<v Speaker 1>could work twenty four hours a day, placing components with

0:23:42.240 --> 0:23:47.399
<v Speaker 1>a precision of within one fifty th of an inch. Now,

0:23:47.440 --> 0:23:49.280
<v Speaker 1>I'm not going to do the conversion on that, because

0:23:49.280 --> 0:23:51.639
<v Speaker 1>I think it's sufficient to say that it was just

0:23:52.400 --> 0:23:57.439
<v Speaker 1>really precise. According to a charmingly dated newsreel from Britain,

0:23:57.600 --> 0:24:01.040
<v Speaker 1>complete with swinging sixties music that sounded like it came

0:24:01.119 --> 0:24:04.439
<v Speaker 1>straight off an Austin Powers movie, the robot could operate

0:24:04.520 --> 0:24:07.000
<v Speaker 1>for five hours without the need for a human to

0:24:07.080 --> 0:24:11.320
<v Speaker 1>check in on it. Engelberger, a savvy businessman and promoter,

0:24:11.840 --> 0:24:15.720
<v Speaker 1>would arrange for Unimate to show what it could do

0:24:15.960 --> 0:24:20.320
<v Speaker 1>at trade shows and on TV appearances, including one on

0:24:20.400 --> 0:24:23.679
<v Speaker 1>The Tonight Show with Johnny Carson. If you don't know

0:24:23.720 --> 0:24:26.879
<v Speaker 1>who that is, ask your parents, and if they don't know,

0:24:28.280 --> 0:24:32.720
<v Speaker 1>ask your grandparents. By nineteen sixty nine, General Motors had

0:24:32.800 --> 0:24:36.600
<v Speaker 1>jumped on board the robot train, as it were. They

0:24:36.760 --> 0:24:41.240
<v Speaker 1>rebuilt a manufacturing plant in Lordstown, Ohio, and they installed

0:24:41.320 --> 0:24:45.280
<v Speaker 1>unimate robots to perform spot welding on car bodies, and

0:24:45.320 --> 0:24:48.880
<v Speaker 1>the results spoke for themselves. The plant was capable of

0:24:48.920 --> 0:24:52.920
<v Speaker 1>producing one hundred ten cars per hour, which was more

0:24:53.000 --> 0:24:56.400
<v Speaker 1>than double the speed that the plant could manage before

0:24:56.600 --> 0:24:59.840
<v Speaker 1>the installation of the robots. The business case for the

0:25:00.040 --> 0:25:04.320
<v Speaker 1>robots seemed clear. After a hefty upfront cost, you could

0:25:04.359 --> 0:25:07.639
<v Speaker 1>produce way more stuff per day, and as long as

0:25:07.680 --> 0:25:11.040
<v Speaker 1>the demand for that stuff is high enough, it could

0:25:11.119 --> 0:25:13.800
<v Speaker 1>mean greater revenue. You could also bring the cost of

0:25:13.880 --> 0:25:17.359
<v Speaker 1>production for an individual unit down. Then you could pass

0:25:17.440 --> 0:25:20.360
<v Speaker 1>savings on to customers and get really competitive with your pricing,

0:25:20.960 --> 0:25:23.280
<v Speaker 1>or you could just keep everything price the same and

0:25:23.359 --> 0:25:26.800
<v Speaker 1>try to increase your profit margin. The key to all

0:25:26.880 --> 0:25:29.440
<v Speaker 1>this was that you had to be sure the thing

0:25:29.480 --> 0:25:32.600
<v Speaker 1>you were producing would bring in enough money to offset

0:25:32.600 --> 0:25:35.840
<v Speaker 1>the cost of automation, so it would not make sense

0:25:35.920 --> 0:25:39.280
<v Speaker 1>to spend millions of dollars building out a factory staffed

0:25:39.280 --> 0:25:41.879
<v Speaker 1>with robots if you were making something that had a

0:25:42.000 --> 0:25:45.280
<v Speaker 1>very small market to begin with, Yes, you'd be able

0:25:45.280 --> 0:25:48.159
<v Speaker 1>to produce way more watching My Call It's than you

0:25:48.160 --> 0:25:51.359
<v Speaker 1>could before. But if the demand for watch my Call

0:25:51.440 --> 0:25:54.680
<v Speaker 1>It's is really modest, that doesn't do you any good.

0:25:55.160 --> 0:25:57.719
<v Speaker 1>In fact, you might end up flooding the market and

0:25:57.800 --> 0:26:01.800
<v Speaker 1>devaluing your product. So well, robots were taking on jobs

0:26:01.840 --> 0:26:04.440
<v Speaker 1>that were previously held by humans, there was no real

0:26:04.560 --> 0:26:08.159
<v Speaker 1>danger of a massive upheaval where everything would be automated.

0:26:08.200 --> 0:26:11.399
<v Speaker 1>The limitations in the technology were just too great and

0:26:11.440 --> 0:26:14.000
<v Speaker 1>the cost was too high for most companies to go

0:26:14.080 --> 0:26:17.439
<v Speaker 1>that route. And this also became the starting point for

0:26:17.520 --> 0:26:21.440
<v Speaker 1>something that would become really important. That the main goal

0:26:21.560 --> 0:26:26.280
<v Speaker 1>of developing industrial robots wasn't to displace humans. It was

0:26:26.320 --> 0:26:30.959
<v Speaker 1>meant to offload duties that were dull, dirty, or dangerous.

0:26:31.040 --> 0:26:34.560
<v Speaker 1>You'll often hear those terms being used with robotics. If

0:26:34.600 --> 0:26:37.080
<v Speaker 1>it is a job that carries with it a significant

0:26:37.160 --> 0:26:39.920
<v Speaker 1>risk to the person performing it, or a job so

0:26:40.040 --> 0:26:42.440
<v Speaker 1>demanding that you can only expect a person to stick

0:26:42.480 --> 0:26:44.520
<v Speaker 1>with it for a short while before they need to

0:26:44.520 --> 0:26:48.119
<v Speaker 1>do something else, then building a robot to do that job,

0:26:48.240 --> 0:26:51.520
<v Speaker 1>or at least that list of tasks makes sense. The

0:26:51.640 --> 0:26:55.240
<v Speaker 1>robot is just a thing. It can endure conditions that

0:26:55.320 --> 0:26:58.119
<v Speaker 1>humans can't, and it doesn't get sick, and it doesn't

0:26:58.119 --> 0:27:02.000
<v Speaker 1>get hurt. If something breaks down, you can typically repair

0:27:02.040 --> 0:27:06.199
<v Speaker 1>it pretty quickly. We humans don't have that luxury. Now,

0:27:06.280 --> 0:27:08.840
<v Speaker 1>I'm not going to go and run down a full

0:27:08.960 --> 0:27:12.639
<v Speaker 1>history of all industrial robots because that would mostly involve

0:27:12.680 --> 0:27:16.439
<v Speaker 1>me talking about model numbers with slight differences like the

0:27:16.520 --> 0:27:19.840
<v Speaker 1>number of axes of movement or points of articulation for

0:27:19.880 --> 0:27:22.600
<v Speaker 1>one robot versus another, and that's not really interesting. But

0:27:22.600 --> 0:27:25.840
<v Speaker 1>I do want to hit a couple of highlights. One

0:27:26.080 --> 0:27:30.480
<v Speaker 1>is that in NINETI, the A S E A I

0:27:30.880 --> 0:27:36.400
<v Speaker 1>RB robot would be the first fully electrically driven robot.

0:27:36.960 --> 0:27:41.560
<v Speaker 1>It also used Intel's first chip set as processors. Now,

0:27:41.600 --> 0:27:45.720
<v Speaker 1>this was not a super strong robot because those electrically

0:27:45.840 --> 0:27:49.000
<v Speaker 1>driven limbs just can't pack the same punch as a

0:27:49.080 --> 0:27:52.720
<v Speaker 1>hydraulic system, which typically moves much more slowly but can

0:27:52.840 --> 0:27:57.440
<v Speaker 1>handle much heavier payloads. So this particular robot could only

0:27:57.560 --> 0:28:01.800
<v Speaker 1>lift weights up to around their teen pounds or six kgrams.

0:28:02.480 --> 0:28:06.720
<v Speaker 1>But the move toward processors and electrically driven components marked

0:28:06.720 --> 0:28:10.480
<v Speaker 1>a big technological step, even if the arms physical capabilities

0:28:10.760 --> 0:28:15.560
<v Speaker 1>were much less impressive than a hydraulic system. By the

0:28:15.680 --> 0:28:19.040
<v Speaker 1>end of the nineteen seventies, Japan was getting into the

0:28:19.119 --> 0:28:23.720
<v Speaker 1>robotics game with arc welding robots for assembly lines, and

0:28:23.760 --> 0:28:27.280
<v Speaker 1>then it was off to the robotic races, with the

0:28:27.320 --> 0:28:32.480
<v Speaker 1>eighties seeing a surge in advances with industrial robots. Soon,

0:28:32.760 --> 0:28:37.640
<v Speaker 1>massive manufacturing facilities were installing robots to take over elements

0:28:37.640 --> 0:28:41.480
<v Speaker 1>of the assembly line process, particularly in that dirty, dull,

0:28:41.560 --> 0:28:46.920
<v Speaker 1>and dangerous category. The robots became more sophisticated, which also

0:28:47.000 --> 0:28:49.880
<v Speaker 1>added to their value. When we come back, I'll talk

0:28:49.960 --> 0:28:53.560
<v Speaker 1>more about why that's important, but first let's take another

0:28:53.680 --> 0:29:05.120
<v Speaker 1>quick break. By the mid nine nineties, robotics companies were

0:29:05.160 --> 0:29:08.600
<v Speaker 1>making machines that could coordinate and synchronize the movements of

0:29:08.640 --> 0:29:11.600
<v Speaker 1>more than one robot at the same time, allowing for

0:29:11.680 --> 0:29:16.200
<v Speaker 1>more complex manufacturing processes. By the early two thousand's, there

0:29:16.200 --> 0:29:19.040
<v Speaker 1>were systems that could synchronize the actions of up to

0:29:19.160 --> 0:29:22.600
<v Speaker 1>four robots at a time, further adding to the overall

0:29:22.720 --> 0:29:27.720
<v Speaker 1>system flexibility. Now I mentioned earlier that a programmable robot

0:29:27.960 --> 0:29:31.680
<v Speaker 1>is more versatile than something like a cam operated system. Well,

0:29:32.280 --> 0:29:36.640
<v Speaker 1>more sophisticated robots with more axes of motion and more.

0:29:36.680 --> 0:29:41.160
<v Speaker 1>Points of articulation have the potential to do lots of

0:29:41.200 --> 0:29:44.960
<v Speaker 1>different types of jobs, and this is of critical importance.

0:29:45.120 --> 0:29:47.440
<v Speaker 1>If the robot is too limited, if you can only

0:29:47.520 --> 0:29:53.080
<v Speaker 1>do a small range of motions, you can't necessarily repurpose

0:29:53.120 --> 0:29:56.760
<v Speaker 1>it for new processes. And as markets change, you may

0:29:56.760 --> 0:29:59.280
<v Speaker 1>find yourself needing to be flexible when it comes to

0:29:59.360 --> 0:30:03.800
<v Speaker 1>the stuff you're manufacturing. So let's use an extreme hypothetical

0:30:03.840 --> 0:30:07.960
<v Speaker 1>example that would probably never happen. So let's say that

0:30:08.040 --> 0:30:12.360
<v Speaker 1>you run an auto manufacturing facility, but then there's a

0:30:12.400 --> 0:30:16.440
<v Speaker 1>massive market change and it drastically affects the demand for

0:30:16.560 --> 0:30:20.960
<v Speaker 1>your cars. There's just not enough demand to support the production.

0:30:21.520 --> 0:30:25.040
<v Speaker 1>So rather than just you know, closing up shop and

0:30:25.120 --> 0:30:28.000
<v Speaker 1>calling it a day, your business decides to do an

0:30:28.080 --> 0:30:31.840
<v Speaker 1>amazing pivot and you begin to convert your manufacturing facility

0:30:31.880 --> 0:30:36.680
<v Speaker 1>over to I don't know, home appliances. Now, again, this

0:30:36.720 --> 0:30:40.960
<v Speaker 1>is an extreme hypothetical example, but let's just go with it. Okay,

0:30:41.080 --> 0:30:44.000
<v Speaker 1>So here we go. If the robots and your assembly

0:30:44.040 --> 0:30:48.240
<v Speaker 1>line are powerful but limited in movement and function, you

0:30:48.280 --> 0:30:51.000
<v Speaker 1>may find it impossible to adapt them to your new

0:30:51.040 --> 0:30:53.680
<v Speaker 1>line of business, which would mean you need to either

0:30:53.840 --> 0:30:57.479
<v Speaker 1>invest in new robots, or you'd have to hire human

0:30:57.720 --> 0:31:01.560
<v Speaker 1>workers to put together your appliances, and it would also

0:31:01.600 --> 0:31:04.120
<v Speaker 1>mean that your old robots would be a sunk cost.

0:31:04.160 --> 0:31:06.280
<v Speaker 1>You would need to either sell them off or put

0:31:06.320 --> 0:31:10.600
<v Speaker 1>them in storage or something. If the robots are really sophisticated, however,

0:31:10.720 --> 0:31:13.000
<v Speaker 1>you might be able to program them to do some

0:31:13.120 --> 0:31:16.440
<v Speaker 1>of the operations on the new assembly line, and that

0:31:16.440 --> 0:31:19.520
<v Speaker 1>would keep them useful, it would lower the cost of production.

0:31:20.240 --> 0:31:24.240
<v Speaker 1>Or for a less extreme example, you introduce a new

0:31:24.320 --> 0:31:27.240
<v Speaker 1>model of whatever a thing it is that you're producing.

0:31:27.600 --> 0:31:31.440
<v Speaker 1>Anything new will require adjustments in the assembly line process,

0:31:31.680 --> 0:31:34.000
<v Speaker 1>and if the changes are big enough, the robots may

0:31:34.000 --> 0:31:36.960
<v Speaker 1>not be able to make as big a contribution in

0:31:37.000 --> 0:31:41.040
<v Speaker 1>the process. That's something that could happen with the example

0:31:41.080 --> 0:31:43.880
<v Speaker 1>of the PlayStation we were talking about. Yeah, those robots

0:31:43.920 --> 0:31:46.800
<v Speaker 1>can put together a PS four and thirty seconds, there's

0:31:46.800 --> 0:31:48.920
<v Speaker 1>no guarantee they'll be able to do the same thing

0:31:48.960 --> 0:31:51.440
<v Speaker 1>with a PS five, at least not without a major

0:31:51.600 --> 0:31:56.200
<v Speaker 1>overhaul of their assembly line system. While the manufacturing facility

0:31:56.240 --> 0:31:58.640
<v Speaker 1>can churn out a finished PS four and thirty seconds,

0:31:59.400 --> 0:32:02.440
<v Speaker 1>we might not see them work at all with PS five,

0:32:02.480 --> 0:32:04.720
<v Speaker 1>at least not right away. It would all have to

0:32:04.760 --> 0:32:08.920
<v Speaker 1>be optimized. So for decades, industrial robots were kept as

0:32:09.120 --> 0:32:12.840
<v Speaker 1>separate from human workers as was possible. You wanted to

0:32:12.920 --> 0:32:16.400
<v Speaker 1>keep them well away from all the people, or keep

0:32:16.440 --> 0:32:18.560
<v Speaker 1>the people well away from all the robots. Often the

0:32:18.640 --> 0:32:24.000
<v Speaker 1>robots would operate within cages specifically to limit the possibility

0:32:24.040 --> 0:32:27.560
<v Speaker 1>of a human coming within range. After all, these robots

0:32:27.800 --> 0:32:32.080
<v Speaker 1>are large, they're heavy, they're powerful, and many of them

0:32:32.080 --> 0:32:36.920
<v Speaker 1>are incapable of sensing stuff in their environment. Uh and

0:32:37.000 --> 0:32:39.960
<v Speaker 1>whether or not a human is within their range of motion. Instead,

0:32:39.960 --> 0:32:43.720
<v Speaker 1>they're just going through that pre programmed series of motions

0:32:44.240 --> 0:32:47.280
<v Speaker 1>and they're not going to stop unless someone turns it off.

0:32:47.680 --> 0:32:50.360
<v Speaker 1>A robot is performing that same series of steps over

0:32:50.360 --> 0:32:52.000
<v Speaker 1>and over, and that can mean that if a human

0:32:52.480 --> 0:32:56.479
<v Speaker 1>in that area gets near the robot, they could end

0:32:56.520 --> 0:32:58.960
<v Speaker 1>up getting injured or worse. And in fact, this has

0:32:59.000 --> 0:33:01.200
<v Speaker 1>happened several times times over the course of the last

0:33:01.200 --> 0:33:04.600
<v Speaker 1>few decades, and at least in some cases it seems

0:33:04.600 --> 0:33:07.240
<v Speaker 1>as though the robot might have been at fault, meaning

0:33:07.280 --> 0:33:11.600
<v Speaker 1>it's not always a case of human carelessness. For example,

0:33:12.000 --> 0:33:15.160
<v Speaker 1>an engineer in twenty fifteen died when a robot arm

0:33:15.280 --> 0:33:19.200
<v Speaker 1>from one section of the factory floor moved beyond its

0:33:19.240 --> 0:33:24.280
<v Speaker 1>operating area and into the neighboring section that the engineer

0:33:24.360 --> 0:33:27.240
<v Speaker 1>was working in. This is something that should not have happened.

0:33:27.240 --> 0:33:30.800
<v Speaker 1>The robot arms should not have moved that far into

0:33:30.880 --> 0:33:34.360
<v Speaker 1>the neighboring section. The robot arm hit the engineer on

0:33:34.400 --> 0:33:38.240
<v Speaker 1>the head, and she later died from her injuries. In

0:33:38.280 --> 0:33:42.400
<v Speaker 1>the United States, the government has listed thirty three workplace

0:33:42.520 --> 0:33:45.960
<v Speaker 1>deaths due to accidents with industrial robots between the years

0:33:46.080 --> 0:33:51.440
<v Speaker 1>nine four and two thousand fourteen. The investigations also found

0:33:51.520 --> 0:33:56.920
<v Speaker 1>that the majority of those tragedies was typically the fault

0:33:57.080 --> 0:33:59.880
<v Speaker 1>of human error. There was a person who was one

0:34:00.120 --> 0:34:03.360
<v Speaker 1>ring into the operation zone of a robot. That two

0:34:03.400 --> 0:34:07.320
<v Speaker 1>thousand fifteen incident was an outlier. Not that any of

0:34:07.360 --> 0:34:10.279
<v Speaker 1>this makes the thought of working around industrial robots less

0:34:10.320 --> 0:34:14.160
<v Speaker 1>scary or those other accidents any less tragic. They're all

0:34:14.280 --> 0:34:18.800
<v Speaker 1>terribly tragic. Moreover, we're seeing more robots that are capable

0:34:18.960 --> 0:34:22.640
<v Speaker 1>of roaming a work space. They are no longer anchored

0:34:22.719 --> 0:34:25.080
<v Speaker 1>to a specific spot on the floor. In some cases,

0:34:25.440 --> 0:34:31.240
<v Speaker 1>they also, unlike the first industrial robots, typically have external sensors.

0:34:31.280 --> 0:34:34.279
<v Speaker 1>These not only help the robots navigate their environments, but

0:34:34.360 --> 0:34:40.640
<v Speaker 1>also hopefully avoid accidents with human workers. Let's take Amazon's

0:34:40.920 --> 0:34:45.400
<v Speaker 1>warehouse robots for example. These robots look like really big

0:34:45.520 --> 0:34:50.200
<v Speaker 1>robotic vacuum cleaners. They are designed to roll under shelves,

0:34:50.239 --> 0:34:53.040
<v Speaker 1>and the shelves are just, you know, slightly larger than

0:34:53.080 --> 0:34:56.840
<v Speaker 1>the dimensions of the robot. And when an order comes in,

0:34:56.960 --> 0:34:59.840
<v Speaker 1>a robot from the warehouse rolls over to a shelf.

0:35:00.040 --> 0:35:03.040
<v Speaker 1>It holds the respective item on it according to the

0:35:03.080 --> 0:35:07.359
<v Speaker 1>inventory system, and the robot goes under the shelf then

0:35:07.520 --> 0:35:11.359
<v Speaker 1>lifts the shelf by raising a platter like platform on

0:35:11.440 --> 0:35:13.000
<v Speaker 1>the top of the robot. Think of it as like

0:35:13.040 --> 0:35:15.640
<v Speaker 1>a little forklift, except it's more like a i don't know,

0:35:15.920 --> 0:35:18.360
<v Speaker 1>like a tray that a waiter would use to carry

0:35:18.440 --> 0:35:21.719
<v Speaker 1>drinks to a table. But it carries the whole shelf

0:35:21.840 --> 0:35:24.759
<v Speaker 1>up and over to the edge of a cage, where

0:35:24.760 --> 0:35:28.440
<v Speaker 1>a human operator will take the respective item off the

0:35:28.480 --> 0:35:31.600
<v Speaker 1>shelf and scan it and put it into a bin.

0:35:31.800 --> 0:35:34.400
<v Speaker 1>And then those bins go to other humans who further

0:35:34.560 --> 0:35:37.280
<v Speaker 1>scan those items and then put them into other bins

0:35:37.280 --> 0:35:40.160
<v Speaker 1>that ultimately go to the packing department. And if you

0:35:40.160 --> 0:35:43.040
<v Speaker 1>watch videos of these robots, it looks like they're doing

0:35:43.040 --> 0:35:47.840
<v Speaker 1>a complicated ballet as they maneuver through this warehouse, avoiding

0:35:47.840 --> 0:35:52.720
<v Speaker 1>other robots and shelves. As they bring those shelves to humans,

0:35:53.600 --> 0:35:56.839
<v Speaker 1>Markings on the warehouse floor tell the robots where they

0:35:56.840 --> 0:35:59.680
<v Speaker 1>are with respect to everything else in the warehouse, and

0:35:59.719 --> 0:36:04.080
<v Speaker 1>the bots even will position shelves that have items that

0:36:04.120 --> 0:36:06.799
<v Speaker 1>are being ordered a lot toward the edges of this

0:36:07.000 --> 0:36:10.279
<v Speaker 1>space so that they're easier to get to and move

0:36:10.360 --> 0:36:12.960
<v Speaker 1>them over to the human beings. So it's kind of

0:36:12.960 --> 0:36:15.680
<v Speaker 1>an interesting dynamic system. It's not like they pick up

0:36:15.719 --> 0:36:18.600
<v Speaker 1>the shelf and then bring the shelf immediately right back

0:36:18.680 --> 0:36:21.040
<v Speaker 1>to where it started. The shelf can end up in

0:36:21.080 --> 0:36:26.200
<v Speaker 1>a different location entirely. In addition, cameras give the robots

0:36:26.239 --> 0:36:29.919
<v Speaker 1>the ability to sense any obstacles that might block their path,

0:36:30.080 --> 0:36:32.600
<v Speaker 1>allowing the robot to come to a stop and wait

0:36:32.640 --> 0:36:37.799
<v Speaker 1>further instructions and report that it has found something unusual

0:36:38.360 --> 0:36:42.040
<v Speaker 1>on the warehouse floor. Even so, typically humans are not

0:36:42.160 --> 0:36:45.760
<v Speaker 1>allowed to roam the area where the robots pick up shelves.

0:36:46.239 --> 0:36:49.120
<v Speaker 1>If something has fallen on the warehouse floor, a designated

0:36:49.120 --> 0:36:53.040
<v Speaker 1>troubleshooter gets an alert, and that person must use an

0:36:53.040 --> 0:36:55.759
<v Speaker 1>interface to draw the path that they are going to

0:36:55.840 --> 0:36:59.719
<v Speaker 1>take from the entrance of the cage all the way

0:36:59.800 --> 0:37:03.080
<v Speaker 1>to you the point of trouble. Like let's say that

0:37:03.640 --> 0:37:05.600
<v Speaker 1>a product has fallen out of a shelf and has

0:37:05.640 --> 0:37:08.160
<v Speaker 1>hit the floor, and a robot has reported it. You

0:37:08.160 --> 0:37:10.560
<v Speaker 1>would use a tablet. If you're the troubleshooter, you'd use

0:37:10.600 --> 0:37:12.880
<v Speaker 1>a tablet and you would draw, almost like a maze,

0:37:13.200 --> 0:37:17.400
<v Speaker 1>the path you would take to get to that particular item,

0:37:17.560 --> 0:37:21.680
<v Speaker 1>and you would follow that path out and back. In addition,

0:37:22.200 --> 0:37:25.480
<v Speaker 1>you'd wear a radio transmitter that would send a signal

0:37:25.560 --> 0:37:28.040
<v Speaker 1>out that the robots could all detect, and that would

0:37:28.040 --> 0:37:31.319
<v Speaker 1>alert the robots to the presence of you, the troubleshooter.

0:37:32.000 --> 0:37:34.560
<v Speaker 1>That helps prevent a situation in which the robots are

0:37:34.600 --> 0:37:39.359
<v Speaker 1>going to collide with you, right, you want to avoid that. Now,

0:37:39.360 --> 0:37:42.000
<v Speaker 1>there's a lot of work that goes into designing robots

0:37:42.080 --> 0:37:45.400
<v Speaker 1>that can interoperate in a space that's occupied by humans,

0:37:45.840 --> 0:37:48.560
<v Speaker 1>and it's a very challenging line of technology because it

0:37:48.560 --> 0:37:51.600
<v Speaker 1>takes more than just thinking about how the machines work.

0:37:51.920 --> 0:37:55.560
<v Speaker 1>You also have to think about how people work, and moreover,

0:37:56.000 --> 0:37:58.640
<v Speaker 1>you have to think about how people change the way

0:37:58.680 --> 0:38:01.000
<v Speaker 1>they work when they're in the company of a robot.

0:38:01.280 --> 0:38:06.160
<v Speaker 1>It's kind of similar to the concept in quantum theory, right,

0:38:06.200 --> 0:38:09.239
<v Speaker 1>the idea that you change a thing you observe just

0:38:09.320 --> 0:38:13.880
<v Speaker 1>through the act of observation. Well, you can have a

0:38:14.080 --> 0:38:17.600
<v Speaker 1>workspace that humans had only been working in for a while,

0:38:18.480 --> 0:38:20.160
<v Speaker 1>and you could say, all right, well, i have observed

0:38:20.160 --> 0:38:21.719
<v Speaker 1>how the humans work, and I'm going to build a

0:38:21.800 --> 0:38:24.480
<v Speaker 1>robot that does this one task that the humans do,

0:38:25.400 --> 0:38:28.680
<v Speaker 1>and I'm just gonna incorporate right into their workspace. But

0:38:28.760 --> 0:38:30.920
<v Speaker 1>then you find out that when you do that, the

0:38:31.000 --> 0:38:33.480
<v Speaker 1>humans all behave in a new way because there's a

0:38:33.520 --> 0:38:36.680
<v Speaker 1>new thing in the environment that you didn't account for,

0:38:37.120 --> 0:38:39.880
<v Speaker 1>and now the design of your robot doesn't work as well.

0:38:40.440 --> 0:38:44.640
<v Speaker 1>We humans are tricky like that. Moreover, we need to

0:38:44.640 --> 0:38:47.919
<v Speaker 1>get to that threat that weavers were worried about more

0:38:47.920 --> 0:38:52.879
<v Speaker 1>than a century ago. Is automation going to take our jobs? Now?

0:38:52.880 --> 0:38:56.920
<v Speaker 1>There have been a few studies, all using different methodologies,

0:38:57.239 --> 0:38:59.920
<v Speaker 1>and some of those studies coming under criticism for the

0:39:00.040 --> 0:39:03.279
<v Speaker 1>approaches that were used. But there have been a few

0:39:03.320 --> 0:39:06.840
<v Speaker 1>states that suggest we'll see automation continue to impact jobs

0:39:06.880 --> 0:39:10.640
<v Speaker 1>in the near future and drastically so over the course

0:39:10.680 --> 0:39:14.160
<v Speaker 1>of the long run. The interpretation of those results have

0:39:14.280 --> 0:39:18.399
<v Speaker 1>been reported in ways that range from automation is going

0:39:18.400 --> 0:39:22.239
<v Speaker 1>to be disruptive, that's on the light end too. Of

0:39:22.280 --> 0:39:25.360
<v Speaker 1>all jobs are going to be taken by the robots.

0:39:25.400 --> 0:39:28.600
<v Speaker 1>So what's the actual truth. Well, the truth, as it

0:39:28.640 --> 0:39:34.000
<v Speaker 1>turns out, is complicated. For one thing, automation rarely takes

0:39:34.040 --> 0:39:37.600
<v Speaker 1>over an entire job. What is far more likely to

0:39:37.680 --> 0:39:42.160
<v Speaker 1>happen is that automation will take over certain tasks that

0:39:42.320 --> 0:39:46.239
<v Speaker 1>are part of a job, or perhaps multiple jobs. So

0:39:46.280 --> 0:39:49.799
<v Speaker 1>if a job requires a wide variety of tasks, some

0:39:49.960 --> 0:39:53.640
<v Speaker 1>of which may require critical thinking, it's really hard to

0:39:53.680 --> 0:39:56.879
<v Speaker 1>design a robot that can do all of that. It's

0:39:56.920 --> 0:40:00.760
<v Speaker 1>far more likely that you would automate certain job respond possibilities,

0:40:01.120 --> 0:40:05.000
<v Speaker 1>which would mean that those jobs themselves wouldn't go away,

0:40:05.040 --> 0:40:10.480
<v Speaker 1>they would just change. The repetitive responsibilities would be offloaded

0:40:10.560 --> 0:40:13.120
<v Speaker 1>and you would focus on something else. You might have

0:40:13.160 --> 0:40:15.840
<v Speaker 1>to spend more time doing other duties rather than the

0:40:15.920 --> 0:40:20.399
<v Speaker 1>routine ones, which isn't necessarily a bad thing. But there

0:40:20.400 --> 0:40:25.160
<v Speaker 1>are cases where automation would likely take over an entire job.

0:40:25.560 --> 0:40:30.439
<v Speaker 1>For example, truck drivers, you know, in shipping trucks. Much

0:40:30.440 --> 0:40:33.880
<v Speaker 1>of the work in autonomous vehicles is really focusing not

0:40:34.000 --> 0:40:39.839
<v Speaker 1>necessarily on replacing passenger vehicles so much as commercial vehicles

0:40:39.880 --> 0:40:44.640
<v Speaker 1>like shipping trucks. The Bureau of Labor Statistics in the

0:40:44.680 --> 0:40:47.920
<v Speaker 1>United States estimated that the age of the average US

0:40:48.000 --> 0:40:52.480
<v Speaker 1>truck driver is fifty five and more than of all

0:40:52.520 --> 0:40:56.160
<v Speaker 1>truck drivers in the US are mail and that will

0:40:56.200 --> 0:41:00.360
<v Speaker 1>present a challenge. See Generally, the pro argue meant for

0:41:00.400 --> 0:41:05.160
<v Speaker 1>automation is that while robots and automated systems will eliminate

0:41:05.320 --> 0:41:10.760
<v Speaker 1>some jobs, they will create other jobs, presumably better jobs.

0:41:11.520 --> 0:41:15.479
<v Speaker 1>And this is true. At the turn of the twentieth century,

0:41:16.080 --> 0:41:19.759
<v Speaker 1>of all jobs in the United States were on farms,

0:41:19.840 --> 0:41:22.600
<v Speaker 1>so that means four out of ten people in the

0:41:22.719 --> 0:41:26.920
<v Speaker 1>US who had a job we're working on a farm. Today,

0:41:27.560 --> 0:41:31.600
<v Speaker 1>agriculture and all the related food sectors make up just

0:41:31.840 --> 0:41:35.040
<v Speaker 1>eleven of all jobs in the United States. And if

0:41:35.080 --> 0:41:37.160
<v Speaker 1>we just limit this to the people who are working

0:41:37.160 --> 0:41:40.840
<v Speaker 1>on farms, you know, not all agricultural jobs and food

0:41:40.840 --> 0:41:43.759
<v Speaker 1>sector jobs, just the farm jobs. If we do that,

0:41:44.080 --> 0:41:48.120
<v Speaker 1>we're talking about only one point three percent of all

0:41:48.320 --> 0:41:52.600
<v Speaker 1>US employment. So going from to one point three percent,

0:41:52.760 --> 0:41:57.680
<v Speaker 1>that's a drastic change. Now, clearly automation has transformed agriculture.

0:41:57.719 --> 0:42:00.880
<v Speaker 1>It allows us to do a lot more while relying

0:42:00.960 --> 0:42:05.120
<v Speaker 1>on fewer people, and new jobs did come around, so

0:42:05.600 --> 0:42:09.439
<v Speaker 1>we didn't see an unemployment rate reaching levels higher than

0:42:11.960 --> 0:42:17.360
<v Speaker 1>pre COVID. The pro automation argument states that new jobs,

0:42:17.800 --> 0:42:21.680
<v Speaker 1>which again should ideally be better than existing jobs, isn't.

0:42:21.760 --> 0:42:25.759
<v Speaker 1>Less strenuous and less dangerous and more interesting will emerge

0:42:26.160 --> 0:42:29.760
<v Speaker 1>as older jobs are phased out. Now, that works fine

0:42:30.160 --> 0:42:33.120
<v Speaker 1>on a macro scale when you're taking a really big

0:42:33.200 --> 0:42:36.200
<v Speaker 1>picture look at the overall trends, But when you consider

0:42:36.280 --> 0:42:39.560
<v Speaker 1>the particulars, like our truck drivers, you start to see

0:42:39.600 --> 0:42:44.520
<v Speaker 1>some obstacles. See this year, I turned forty five, so

0:42:44.719 --> 0:42:47.719
<v Speaker 1>I'm a lot closer to the average age of a

0:42:47.800 --> 0:42:50.560
<v Speaker 1>truck driver in the United States. Then I am to

0:42:50.600 --> 0:42:53.239
<v Speaker 1>someone who's just getting into the job market for the

0:42:53.280 --> 0:42:56.440
<v Speaker 1>first time, and I can tell you that, even as

0:42:56.440 --> 0:43:00.400
<v Speaker 1>a relatively tech savvy guy, I would find it really

0:43:00.520 --> 0:43:03.719
<v Speaker 1>challenging to pick up the job skills. I would need

0:43:04.160 --> 0:43:08.000
<v Speaker 1>to go into a different line of work, particularly one

0:43:08.200 --> 0:43:11.600
<v Speaker 1>where I'm competing against people who already have training and

0:43:11.719 --> 0:43:15.319
<v Speaker 1>experience in that field. So imagine having to tell a

0:43:15.320 --> 0:43:18.560
<v Speaker 1>group of fifty five year old truck drivers that they're

0:43:18.600 --> 0:43:21.160
<v Speaker 1>out of a job. But good news. If you just

0:43:21.200 --> 0:43:24.319
<v Speaker 1>start taking classes, you can learn to code and make

0:43:25.080 --> 0:43:28.160
<v Speaker 1>less money than you did in your old job. It's

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<v Speaker 1>not great, is what I'm saying. Now, that being said,

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<v Speaker 1>automation is clearly not going anywhere. It's going to continue

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<v Speaker 1>to play a big role in how we get work done,

0:43:38.120 --> 0:43:41.400
<v Speaker 1>and in our best case scenarios, it's going to augment

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<v Speaker 1>the work that humans do, leading to better, more efficient,

0:43:45.480 --> 0:43:48.960
<v Speaker 1>and more cost effective outcomes. It will free us up

0:43:49.040 --> 0:43:50.920
<v Speaker 1>to focus on the parts of our jobs that we

0:43:50.960 --> 0:43:54.160
<v Speaker 1>find the most fulfilling. We can handle the stuff that

0:43:54.200 --> 0:43:58.120
<v Speaker 1>requires flexibility and intuitive thinking, and the machines can handle

0:43:58.360 --> 0:44:03.200
<v Speaker 1>the routine and the dangerous. But in a worst case scenario,

0:44:03.719 --> 0:44:08.359
<v Speaker 1>we'll see an unprepared population of former workers who are

0:44:08.400 --> 0:44:11.320
<v Speaker 1>now out of a job and without the support system

0:44:11.400 --> 0:44:15.080
<v Speaker 1>there to help them transition into something new so that

0:44:15.120 --> 0:44:20.160
<v Speaker 1>they can continue to contribute to society and earn a living. Now,

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<v Speaker 1>this is why you will often hear conversations about automation

0:44:24.280 --> 0:44:29.560
<v Speaker 1>get tied into concepts like a guaranteed jobs program. This

0:44:29.640 --> 0:44:32.760
<v Speaker 1>is typically where something like a government creates a system

0:44:32.920 --> 0:44:35.919
<v Speaker 1>that makes certain every person who wants a job can

0:44:36.000 --> 0:44:40.600
<v Speaker 1>get a job. Or you'll hear about guaranteed basic income.

0:44:40.760 --> 0:44:43.279
<v Speaker 1>This is a strategy in which tax dollars go to

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<v Speaker 1>fund a standard income payout to all citizens so that

0:44:47.800 --> 0:44:51.400
<v Speaker 1>they can meet their most basic needs. Now, these are

0:44:51.480 --> 0:44:56.200
<v Speaker 1>big ideas, they aren't easy to implement or administer, and

0:44:56.239 --> 0:44:59.359
<v Speaker 1>they're not cheap, But it may be that they will

0:44:59.400 --> 0:45:02.920
<v Speaker 1>become nest as sary, or some similar strategy will be

0:45:02.960 --> 0:45:05.560
<v Speaker 1>needed to make certain that we have a plan to

0:45:05.680 --> 0:45:09.080
<v Speaker 1>move toward rather than being caught in a world where

0:45:09.080 --> 0:45:14.240
<v Speaker 1>a disproportionate percentage of people can't find gainful employment. Heck,

0:45:14.320 --> 0:45:17.000
<v Speaker 1>we're seeing something like that right now due to the

0:45:17.040 --> 0:45:21.879
<v Speaker 1>COVID crisis, which is also underlining the importance of automation

0:45:22.000 --> 0:45:24.719
<v Speaker 1>in a world where it's not necessarily safe to have

0:45:24.800 --> 0:45:27.160
<v Speaker 1>a bunch of human beings all gathered in the same

0:45:27.200 --> 0:45:31.359
<v Speaker 1>place at the same time. Are the robots coming for

0:45:31.400 --> 0:45:35.920
<v Speaker 1>our jobs? Well, for some of our jobs. Definitely. Many

0:45:35.960 --> 0:45:39.160
<v Speaker 1>of those jobs come with some pretty tough consequences for

0:45:39.280 --> 0:45:43.040
<v Speaker 1>humans who are working those jobs today. Those jobs may

0:45:43.080 --> 0:45:46.000
<v Speaker 1>have high injury rates, the people who work them may

0:45:46.040 --> 0:45:49.239
<v Speaker 1>have lower life expectancies, and there are a whole host

0:45:49.360 --> 0:45:51.600
<v Speaker 1>of health issues that can come along with certain jobs.

0:45:51.600 --> 0:45:54.600
<v Speaker 1>So you could make a strong argument that really this

0:45:54.680 --> 0:45:57.360
<v Speaker 1>is for the best because it will help save lives

0:45:57.360 --> 0:46:00.440
<v Speaker 1>and reduce the chance for injury or ill. This for

0:46:00.520 --> 0:46:03.840
<v Speaker 1>a lot of people, but for other jobs, the robots

0:46:03.960 --> 0:46:06.719
<v Speaker 1>aren't likely to take over in the near future. For

0:46:06.800 --> 0:46:11.120
<v Speaker 1>a lot of jobs, automated systems not necessarily robots, but

0:46:11.200 --> 0:46:16.120
<v Speaker 1>perhaps you know software based AI will augment what humans

0:46:16.160 --> 0:46:20.240
<v Speaker 1>are doing. It's important we have conversations about this stuff

0:46:20.520 --> 0:46:23.640
<v Speaker 1>and to talk about how to address the consequences of

0:46:23.680 --> 0:46:27.560
<v Speaker 1>increased automation. There are ways we can enjoy the benefits

0:46:27.600 --> 0:46:31.359
<v Speaker 1>of automation, but only if we think critically about it

0:46:31.480 --> 0:46:36.960
<v Speaker 1>and create policies and procedures accordingly. Now I gotta get going.

0:46:37.680 --> 0:46:40.439
<v Speaker 1>I hear robo Jonathan is going to host the next

0:46:40.480 --> 0:46:43.000
<v Speaker 1>episode of tech Stuff, and I have to train them

0:46:43.000 --> 0:46:46.400
<v Speaker 1>on how to make puns and pop culture references. But

0:46:46.560 --> 0:46:49.520
<v Speaker 1>if you guys have suggestions for future topics I could

0:46:49.560 --> 0:46:52.319
<v Speaker 1>tackle here on tech Stuff, please reach out to me

0:46:52.360 --> 0:46:54.759
<v Speaker 1>and let me know what those are. You can reach

0:46:54.760 --> 0:46:57.360
<v Speaker 1>out on Twitter. The handle for the show is text

0:46:57.400 --> 0:47:03.000
<v Speaker 1>stuff hs W and I'll all too again really soon. Y.

0:47:07.280 --> 0:47:10.319
<v Speaker 1>Text Stuff is an i heart Radio production. For more

0:47:10.400 --> 0:47:13.800
<v Speaker 1>podcasts from I heart Radio, visit the i heart Radio app,

0:47:13.920 --> 0:47:17.080
<v Speaker 1>Apple Podcasts, or wherever you listen to your favorite shows.