WEBVTT - Rerun: The Robots Are Coming for Your Job!

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<v Speaker 1>Welcome to Tech Stuff, a production from iHeartRadio. Hey there,

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<v Speaker 1>and welcome to tech Stuff. I'm your host, Jonathan Strickland.

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<v Speaker 1>I'm an executive producer with iHeartRadio. And how the tech

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<v Speaker 1>are you? Here in the United States, we are celebrating

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<v Speaker 1>Labor Day, a federal holiday here in the States. Also

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<v Speaker 1>one that I find really interesting because it's all about

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<v Speaker 1>celebrating the American labor movement. But if you pay attention,

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<v Speaker 1>especially in the tech space, there are a lot of

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<v Speaker 1>entities out there, a lot of companies that are eagerly

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<v Speaker 1>opposing the labor movement and trying to do things like

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<v Speaker 1>prevent workers from organizing and forming unions. Yeah, a complicated

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<v Speaker 1>thing that we have a holiday to celebrate it, and

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<v Speaker 1>yet we have plenty of examples of companies and organizations

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<v Speaker 1>out there dedicated to venting more labor organization from happening.

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<v Speaker 1>But let's put aside all of that. I thought, since

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<v Speaker 1>we're on holiday today, I wanted to make sure that

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<v Speaker 1>you had an episode anyway. So we're going to actually

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<v Speaker 1>listen to an episode that came out a few years ago,

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<v Speaker 1>back in twenty twenty July thirteenth, twenty twenty. In fact,

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<v Speaker 1>it is titled The Robots Are Coming for Your Job,

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<v Speaker 1>and it's all about robots and automated systems and the

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<v Speaker 1>anxiety that exists around this idea of automation eliminating jobs,

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<v Speaker 1>which I think has only become even more of a

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<v Speaker 1>talking point in the wake of things like generative AI,

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<v Speaker 1>for example. So let's listen to this episode from twenty twenty,

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<v Speaker 1>the Robots Are Coming for Your Job, and I'll chat

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<v Speaker 1>with you again at the end. I read a lot

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<v Speaker 1>of tech news and sometimes that ends up inspiring me

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<v Speaker 1>to do an episode of tech stuff. That happened to

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<v Speaker 1>me recently when I read this headline off of the

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<v Speaker 1>website tech Spot. Sony factory assembles PS four in thirty seconds,

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<v Speaker 1>only four humans involved in the process. A PS four,

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<v Speaker 1>in case you're not aware, is a PlayStation four video

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<v Speaker 1>game consoles. So this factory can build a video game

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<v Speaker 1>console from parts in half a minute and only four

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<v Speaker 1>human beings touch the ding dang thing in the process.

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<v Speaker 1>Those four humans, by the way, are involved in the

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<v Speaker 1>beginning and the end of the process. Two of them

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<v Speaker 1>load motherboards onto the assembly line, and a motherboard is

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<v Speaker 1>the primary circuit board for a computer system, and the

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<v Speaker 1>other two human beings are at the end of the

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<v Speaker 1>assembly line, and their job is to package the completed consoles.

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<v Speaker 1>All the actual assembly work is done by robots. Now

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<v Speaker 1>you may be experiencing a couple of different responses to

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<v Speaker 1>this information. I know I did. One of those was

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<v Speaker 1>a wow, that's seriously impressive. The PS four, like many

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<v Speaker 1>computer systems, has a lot of components, many of which

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<v Speaker 1>attached to one another by wire or cable. So these

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<v Speaker 1>robots have to be able to take these flexible components

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<v Speaker 1>and to join them in their proper anchor points with

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<v Speaker 1>the appropriate amount of pressure and precision to make a

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<v Speaker 1>good connection. Now, if any of you out there have

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<v Speaker 1>ever built your own PC, you know that plugging cables

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<v Speaker 1>in can get a little tricky depending on the layout

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<v Speaker 1>of the motherboard and the various components. And if you're

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<v Speaker 1>someone like me, you're likely putting stuff together only to

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<v Speaker 1>realize that maybe you should have done some of that

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<v Speaker 1>before you mounted them in a computer case, because now

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<v Speaker 1>you just don't have the space to work in properly.

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<v Speaker 1>So it's pretty darn impressive that robots can do this

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<v Speaker 1>consistently and correctly at that level of speed. Another response

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<v Speaker 1>I had was kind of scary. I mean, typically you

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<v Speaker 1>would have dozens of people employed on the assembly line

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<v Speaker 1>to do this sort of work, but in this factory

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<v Speaker 1>it's been stripped down to thirty two robots and four

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<v Speaker 1>human beings. The article in textpot points out that twenty

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<v Speaker 1>six of those thirty two robots are just attaching flexible

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<v Speaker 1>components together inside the console. Now, I have no idea

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<v Speaker 1>how much these robots cost, but I wager that they

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<v Speaker 1>are expensive enough to equal the salary of a standard

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<v Speaker 1>human employee on the assembly line. However, you don't pay robots.

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<v Speaker 1>You do have to spend money to maintain and repair them,

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<v Speaker 1>but assuming whatever you're making is going to be around

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<v Speaker 1>for a little while, they'll pay for themselves because eventually

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<v Speaker 1>you'll get to a point where the salaries you'd be

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<v Speaker 1>paying for humans would be more than the purchase and

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<v Speaker 1>maintenance cost of the robots. And the increase in efficiency

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<v Speaker 1>means you can produce a whole lot more stuff in

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<v Speaker 1>a given amount of time than you would with a

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<v Speaker 1>human centric assembly line, so you'll have more product to

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<v Speaker 1>sell in a shorter amount of time. When you start

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<v Speaker 1>crunching numbers, you discover your robotic assembly line can make

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<v Speaker 1>more stuff at a lower cost over a given period

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<v Speaker 1>of time, like you know, over a couple of years,

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<v Speaker 1>than what you would accomplish with human beings on that

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<v Speaker 1>assembly line. So you don't have to worry about the

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<v Speaker 1>robots taking a vacation. They don't take sick time, they

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<v Speaker 1>don't even take the night off. They can work around

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<v Speaker 1>the clock. They don't need health insurance, though I would

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<v Speaker 1>guess that most companies ensure the heck out of these

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<v Speaker 1>things just in case one breaks down. But from a

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<v Speaker 1>financial point of view, they make sense if you're building

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<v Speaker 1>stuff at a large enough scale, stuff like video game

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<v Speaker 1>consoles for the PlayStation four. It's a no brainer because

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<v Speaker 1>that console has sold around one hundred and ten million

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<v Speaker 1>units so far. That's a number large enough that I

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<v Speaker 1>can't even imagine what it would look like if you

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<v Speaker 1>had all those consoles together in one place. So if

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<v Speaker 1>there's enough demand for you to sell one hundred and

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<v Speaker 1>ten million whatever it is you want to sell, you

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<v Speaker 1>need to have a way to make those as efficiently

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<v Speaker 1>as possible, and that will help maximize your profits. And

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<v Speaker 1>the more efficient the process, the more competitively you can

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<v Speaker 1>price your product and still make a profit. But the

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<v Speaker 1>idea of robots performing jobs far more effectively, consistently, and

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<v Speaker 1>efficiently than humans raises a lot of questions. And these

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<v Speaker 1>are not new questions either, but they are questions like

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<v Speaker 1>if more factories rely on robots for production, particularly if

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<v Speaker 1>those robots can be programmed to produce new products once

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<v Speaker 1>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? They go? What will this do

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<v Speaker 1>to economies around the world. Lots of people have tried

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<v Speaker 1>to answer these questions, sometimes giving drastically different answers. And

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<v Speaker 1>we're going to take a look at the history and

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<v Speaker 1>evolution of industrial robots in this episode and explore the

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<v Speaker 1>ramifications of automated manufacturing. And this is where I dive

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<v Speaker 1>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 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

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<v Speaker 1>textiles was made by crafts people out of their own homes.

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<v Speaker 1>This was literally the cottage industry. Trades people would travel

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<v Speaker 1>and 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 tradespeople built a good deal of wealth

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<v Speaker 1>working this way, and they had the means to look

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<v Speaker 1>at alternatives to this decentralized cottage industry approach. An idea

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<v Speaker 1>began to form. If you brought together crafts people to

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<v Speaker 1>a centralized location, and if you simplified the process of production,

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<v Speaker 1>you could make way more stuff, which in turn means

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<v Speaker 1>you could sell way more stuff, which in turn means

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<v Speaker 1>you can make way more money, and money makes the

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<v Speaker 1>world go round. This thought process helped fuel a similar

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<v Speaker 1>line of thinking. If you could design machines that could

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<v Speaker 1>do a lot of work that typically fell to skilled

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<v Speaker 1>crafts people. You wouldn't need the crafts people at all.

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<v Speaker 1>You could train anyone, even if that person had no

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<v Speaker 1>experience with the process, just to work the machine. And

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<v Speaker 1>while it might take years of dedication to go through

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<v Speaker 1>the process of being an apprentice to learn a trade

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<v Speaker 1>well enough so that you can actually make a living

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<v Speaker 1>at it, with a machine, you can skip right over that.

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<v Speaker 1>As long as the machine's end product was good enough.

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<v Speaker 1>It didn't have to be better than the stuff crafts

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<v Speaker 1>people were making. It just had to be good enough

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<v Speaker 1>and cheap enough and fast enough to produce. Then you

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<v Speaker 1>could sell the finished product at a lower cost than

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<v Speaker 1>what crafts people would charge because not as much time

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<v Speaker 1>and effort went into making the thing. Now, I guess

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<v Speaker 1>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 loom's

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<v Speaker 1>operation was such that a person who had no training

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<v Speaker 1>in 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 opt 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 won 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 sabo, 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 used 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 this story, while compelling, isn't really

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<v Speaker 1>the truth. Sabotage does stem from the word sabo, but

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<v Speaker 1>in French there is a verb sabote. 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 toddler

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<v Speaker 1>wore wooden shoes, I think it would probably sound as

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<v Speaker 1>though the world were shaking apart. I don't know how

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<v Speaker 1>toddlers manage to sound like they weigh eight hundred pounds,

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<v Speaker 1>but they do it. And if you have a toddler,

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<v Speaker 1>you know what I'm talking about. And in the culture

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<v Speaker 1>of France, the idea of a clumsy slow worker was

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<v Speaker 1>often linked to someone who wore wooden shoes because they're

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<v Speaker 1>awkward to wear anyway, The reason sabote led to sabotage

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<v Speaker 1>is because factory workers who were protesting their work conditions

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<v Speaker 1>and wages would purposefully work more slowly and less efficiently

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<v Speaker 1>in order to affect the overall output of a factory.

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<v Speaker 1>It was related to a similar strategy that British laborers employed,

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<v Speaker 1>and their version was called kakani. It was a saying

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<v Speaker 1>from Scotland which essentially means don't do so much man now.

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<v Speaker 1>I would argue this also feeds into a strategy that

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<v Speaker 1>we see to this very day in certain government offices,

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<v Speaker 1>where the idea is there's no need to do too

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<v Speaker 1>much too quickly, as it doesn't result in increased compensation

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<v Speaker 1>and it also sets a really high bar of expectation,

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<v Speaker 1>so why not just take it easy? You know, I

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<v Speaker 1>don't have a coffee break now. In the early twentieth century,

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<v Speaker 1>people began to use the word sabotage to really refer

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<v Speaker 1>to a purpose full approach to undermining the output of factories,

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<v Speaker 1>and it had nothing to do with tossing wooden shoes

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<v Speaker 1>into machinery, though it did also pertain to instances in

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<v Speaker 1>which workers purposefully damaged equipment and tried to slow down

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<v Speaker 1>the production that way. While this isn't directly tied to

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<v Speaker 1>the idea that machines themselves are displacing workers, it is

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<v Speaker 1>related to the effect of moving toward a manufacturing based

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<v Speaker 1>economy and how that allows for the exploitation of workers.

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<v Speaker 1>The machines themselves aren't really at fault, but they facilitate

0:14:36.840 --> 0:14:41.000
<v Speaker 1>the system of operations that leads to exploitation. Now that's

0:14:41.040 --> 0:14:44.320
<v Speaker 1>something that'll be a theme in this episode, and we

0:14:44.400 --> 0:14:47.400
<v Speaker 1>can't ignore the social aspect of what's going on here,

0:14:47.520 --> 0:14:51.160
<v Speaker 1>or else we miss the whole point. But let's skip ahead.

0:14:51.560 --> 0:14:54.640
<v Speaker 1>I've spoken about this before, but we get the word

0:14:54.840 --> 0:14:59.680
<v Speaker 1>robot from a check author named Kyl Kopek. He wrote

0:14:59.720 --> 0:15:03.840
<v Speaker 1>a pl called Rossum's Universal Robots or R you Are

0:15:04.080 --> 0:15:09.640
<v Speaker 1>in nineteen twenty. Kopek took an older word rabota, which

0:15:09.760 --> 0:15:14.200
<v Speaker 1>means forced labor in Europe. This concept was tied to

0:15:14.240 --> 0:15:17.640
<v Speaker 1>that of the old system of serfdom, in which people

0:15:17.640 --> 0:15:21.360
<v Speaker 1>would do work on behalf of a landowner. In return,

0:15:21.680 --> 0:15:24.640
<v Speaker 1>those people would be allowed to live on part of

0:15:24.680 --> 0:15:29.440
<v Speaker 1>that landowner's land. In ru are factory owners devise a

0:15:29.440 --> 0:15:33.960
<v Speaker 1>way to build laborers from raw materials. Now in the play,

0:15:34.320 --> 0:15:38.480
<v Speaker 1>they are indistinguishable from humans other than they have no

0:15:39.320 --> 0:15:43.040
<v Speaker 1>inner desires. But in the course of the play, these

0:15:43.120 --> 0:15:47.960
<v Speaker 1>laborers eventually take over all the jobs that humans previously held,

0:15:48.440 --> 0:15:52.760
<v Speaker 1>and humans themselves become a threatened species as these laborers

0:15:52.840 --> 0:15:56.440
<v Speaker 1>begin to understand the power that they hold by occupying

0:15:56.720 --> 0:16:00.360
<v Speaker 1>all the positions of employment, including as soldiers in the military.

0:16:00.760 --> 0:16:03.720
<v Speaker 1>And so with the introduction of the concept of robot,

0:16:04.120 --> 0:16:07.440
<v Speaker 1>we actually get the very first robotic uprising all the

0:16:07.480 --> 0:16:11.160
<v Speaker 1>way back in nineteen twenty. See I told you it

0:16:11.160 --> 0:16:14.640
<v Speaker 1>was an old idea. It's important to remember that in

0:16:14.680 --> 0:16:18.520
<v Speaker 1>the play, the robots are nearly identical to humans. They

0:16:19.200 --> 0:16:23.040
<v Speaker 1>aren't mechanical the way our robots of today are, but

0:16:23.120 --> 0:16:25.920
<v Speaker 1>the idea of creating machines that can do work without

0:16:25.920 --> 0:16:30.000
<v Speaker 1>a will of their own is a part of robotics

0:16:30.040 --> 0:16:34.200
<v Speaker 1>in general, and industrial robotics in particular. When we come back,

0:16:34.560 --> 0:16:38.240
<v Speaker 1>we'll talk about the earliest industrial robots and what they did,

0:16:38.360 --> 0:16:49.400
<v Speaker 1>But first let's take a quick break. It's interesting to

0:16:49.480 --> 0:16:53.680
<v Speaker 1>me that the tech world adopted the term robot when

0:16:53.680 --> 0:16:57.160
<v Speaker 1>we think about the origins of that word. In Cope's work,

0:16:57.680 --> 0:17:01.920
<v Speaker 1>robots were sentient slaves. They could perform the work humans

0:17:01.960 --> 0:17:06.360
<v Speaker 1>would otherwise do, but they lack the emotions that humans have,

0:17:06.800 --> 0:17:10.480
<v Speaker 1>and the whole idea is that these devices could do

0:17:10.560 --> 0:17:14.800
<v Speaker 1>our work for us without question or protest. They would,

0:17:14.960 --> 0:17:19.520
<v Speaker 1>in theory, endure conditions that people wouldn't or couldn't, But

0:17:19.600 --> 0:17:22.959
<v Speaker 1>in the play they ultimately lead to the destruction of

0:17:23.040 --> 0:17:26.800
<v Speaker 1>the human race and potentially they become the new dominant

0:17:26.840 --> 0:17:30.440
<v Speaker 1>species on the planet. Now. I say potentially because part

0:17:30.480 --> 0:17:34.199
<v Speaker 1>of the play's plot involves the destruction of the formula

0:17:34.440 --> 0:17:37.720
<v Speaker 1>that scientists use to produce the robots in the first place.

0:17:38.240 --> 0:17:40.879
<v Speaker 1>That is an important plot point. The robots are not

0:17:41.160 --> 0:17:44.800
<v Speaker 1>sure how to make more robots, so they might just

0:17:44.960 --> 0:17:48.920
<v Speaker 1>die out. Now, it seems to me as though that's

0:17:48.960 --> 0:17:53.080
<v Speaker 1>a pretty emotionally charged term to adopt for an entire

0:17:53.119 --> 0:17:57.439
<v Speaker 1>discipline of technology, right, robots, Especially if you are actually

0:17:57.480 --> 0:17:59.959
<v Speaker 1>aware of that play, and by the way, I recommend

0:18:00.119 --> 0:18:03.439
<v Speaker 1>people read it. It's a good play. But then a

0:18:03.480 --> 0:18:06.240
<v Speaker 1>lot of people are not aware of the origins of

0:18:06.280 --> 0:18:08.960
<v Speaker 1>the word, or at least not beyond knowing that it

0:18:09.240 --> 0:18:12.000
<v Speaker 1>came from a play in the nineteen twenty So I

0:18:12.040 --> 0:18:14.840
<v Speaker 1>guess for them, it's just, you know, a word. A

0:18:14.920 --> 0:18:18.080
<v Speaker 1>robot by any other name would smell as sweet as

0:18:18.119 --> 0:18:21.680
<v Speaker 1>it were. And we've definitely seen the themes of rure

0:18:21.920 --> 0:18:25.000
<v Speaker 1>serving as an undercurrent for stuff that's happening in robotics

0:18:25.040 --> 0:18:29.640
<v Speaker 1>in general. But let's move ahead. In nineteen fifty four,

0:18:29.920 --> 0:18:34.600
<v Speaker 1>an engineer named George Duvault designed an industrial robot. He

0:18:34.800 --> 0:18:38.760
<v Speaker 1>was nine years old when Kopek coined the term robot.

0:18:39.480 --> 0:18:44.239
<v Speaker 1>He called his design the Programmed Article Transferred Device, for

0:18:44.280 --> 0:18:48.080
<v Speaker 1>which he received a US patent in nineteen sixty one.

0:18:48.720 --> 0:18:51.880
<v Speaker 1>This machine was a robotic arm, and it was capable

0:18:51.920 --> 0:18:56.320
<v Speaker 1>of picking up something and then transferring it a short

0:18:56.359 --> 0:18:59.200
<v Speaker 1>distance away, just within reach of the arm. The arm

0:18:59.240 --> 0:19:02.880
<v Speaker 1>itself couldn't move, it was anchored in place. It could

0:19:02.880 --> 0:19:05.280
<v Speaker 1>also follow. In fact, this is the important part, It

0:19:05.320 --> 0:19:08.800
<v Speaker 1>would follow a pre program series of instructions to do this.

0:19:09.520 --> 0:19:12.600
<v Speaker 1>Deval's argument for his device was that up to this point,

0:19:12.840 --> 0:19:17.680
<v Speaker 1>mechanical handling of objects fell into two broad categories. Either

0:19:17.720 --> 0:19:22.480
<v Speaker 1>stuff got moved by humans, typically operating a powerful machine

0:19:22.520 --> 0:19:26.080
<v Speaker 1>like a crane or a forklift, or stuff got moved

0:19:26.160 --> 0:19:30.520
<v Speaker 1>by a device that operated under cam control. Now, manual

0:19:30.560 --> 0:19:34.280
<v Speaker 1>control is self explanatory, so let's talk about cams. A

0:19:34.400 --> 0:19:39.320
<v Speaker 1>cam is a rotating component in machinery. Typically a cam

0:19:39.400 --> 0:19:43.000
<v Speaker 1>has some variation in its surface. So let's start with

0:19:43.040 --> 0:19:46.000
<v Speaker 1>a wheel. Just imagine a wheel that is spinning on

0:19:46.080 --> 0:19:50.440
<v Speaker 1>an axle. Well, you wouldn't typically have a perfectly smooth

0:19:50.560 --> 0:19:54.280
<v Speaker 1>wheel as a cam. Part of that surface might be flat,

0:19:54.720 --> 0:19:57.879
<v Speaker 1>or it might have dips in it, And when the

0:19:57.920 --> 0:20:01.960
<v Speaker 1>cam rotates, these variations apply force to some other mechanical

0:20:02.000 --> 0:20:05.800
<v Speaker 1>component that is held against the cam, and it causes

0:20:05.840 --> 0:20:10.080
<v Speaker 1>that mechanical component to move in specific ways. A cam

0:20:10.119 --> 0:20:13.440
<v Speaker 1>operating system can work on its own, but it will

0:20:13.440 --> 0:20:17.320
<v Speaker 1>always repeat the exact same motions As long as everything

0:20:17.359 --> 0:20:20.640
<v Speaker 1>is working, it'll just repeat those steps. Once the cams

0:20:20.720 --> 0:20:25.439
<v Speaker 1>complete a full systematic rotation, you can't really adapt it

0:20:25.480 --> 0:20:28.560
<v Speaker 1>to do anything else. The movements depend entirely on the

0:20:28.600 --> 0:20:31.600
<v Speaker 1>cams themselves, so if you wanted it to do something else,

0:20:31.600 --> 0:20:34.240
<v Speaker 1>you would at first have to swap out the cams,

0:20:35.600 --> 0:20:38.400
<v Speaker 1>and even then you would be under whatever the limitations

0:20:38.480 --> 0:20:41.800
<v Speaker 1>of the device was itself, like it wouldn't have full

0:20:41.920 --> 0:20:45.840
<v Speaker 1>range of motion. Moreover, this level of specialization also means

0:20:45.880 --> 0:20:50.240
<v Speaker 1>that it's typically really expensive to rely upon cam based systems,

0:20:50.359 --> 0:20:53.560
<v Speaker 1>so it was really only useful if the application had

0:20:53.560 --> 0:20:56.879
<v Speaker 1>to do with mass manufacturing or else you're looking at

0:20:56.920 --> 0:20:59.280
<v Speaker 1>an economic loss. The cost of the system was just

0:20:59.359 --> 0:21:02.760
<v Speaker 1>too much. So Devaal was proposing a machine that could

0:21:02.800 --> 0:21:06.119
<v Speaker 1>be programmed to do operations. And this would let a

0:21:06.160 --> 0:21:10.639
<v Speaker 1>programmer create different processes using the same machine. Or you

0:21:10.640 --> 0:21:13.720
<v Speaker 1>could get a whole bunch of the same basic machine

0:21:14.320 --> 0:21:17.960
<v Speaker 1>and program each one to do a particular job. Meanwhile,

0:21:18.359 --> 0:21:20.440
<v Speaker 1>you'd free people up to work on other stuff in

0:21:20.480 --> 0:21:23.520
<v Speaker 1>the manufacturing process, and you could take the most dangerous

0:21:23.520 --> 0:21:26.119
<v Speaker 1>stuff and give it to the robots. Now, the story

0:21:26.200 --> 0:21:29.399
<v Speaker 1>goes that Daval was at a party in nineteen fifty

0:21:29.440 --> 0:21:31.720
<v Speaker 1>six and he got into a conversation with a man

0:21:31.880 --> 0:21:37.159
<v Speaker 1>named Joseph Engelberger. Joseph was a scientist and an entrepreneur,

0:21:37.600 --> 0:21:41.680
<v Speaker 1>and when the subject turned to Deval's programmed article transferred device,

0:21:41.720 --> 0:21:44.399
<v Speaker 1>as well as the work of a science fiction author

0:21:44.480 --> 0:21:48.320
<v Speaker 1>known as Isaac Asimov, you know, the father of robotics.

0:21:48.359 --> 0:21:51.800
<v Speaker 1>He famously incorporated a concept of the laws of robotics

0:21:51.800 --> 0:21:54.520
<v Speaker 1>in his works. We won't really go into that in

0:21:54.560 --> 0:21:57.840
<v Speaker 1>this episode, but the laws of robotics still play a

0:21:57.960 --> 0:22:02.600
<v Speaker 1>big part in the discipline of robotics in general. But

0:22:02.720 --> 0:22:06.480
<v Speaker 1>it's kind of outside the focus of this episode. Ingelberger

0:22:06.800 --> 0:22:10.080
<v Speaker 1>used his connections to get funding for devauld to create

0:22:10.119 --> 0:22:13.640
<v Speaker 1>a more advanced version of the programmed article transfer machine,

0:22:14.040 --> 0:22:17.000
<v Speaker 1>and it would be a robotic arm capable of making repeated,

0:22:17.160 --> 0:22:21.280
<v Speaker 1>precise movements while holding very heavy objects. They called it

0:22:21.520 --> 0:22:28.880
<v Speaker 1>the Unimate Unimate, and the first prototype, Unimate zero zero one,

0:22:29.080 --> 0:22:31.880
<v Speaker 1>would go to General Motors to work on a die

0:22:31.960 --> 0:22:36.600
<v Speaker 1>casting assembly line. Now, according to the company robot Works,

0:22:36.760 --> 0:22:42.120
<v Speaker 1>that's a WRX. This robot cost around sixty five thousand

0:22:42.119 --> 0:22:45.000
<v Speaker 1>dollars to produce, and Ingelberger sold it off at a

0:22:45.080 --> 0:22:50.159
<v Speaker 1>tremendous loss. General Motors only paid eighteen thousand dollars for

0:22:50.240 --> 0:22:53.879
<v Speaker 1>a sixty five thousand dollars machine. But Ingelberger really wanted

0:22:53.920 --> 0:22:56.920
<v Speaker 1>to establish that robotics were a way to perform repetitive,

0:22:57.119 --> 0:23:01.240
<v Speaker 1>dangerous functions at a lower risk to humans. Welding die

0:23:01.280 --> 0:23:05.679
<v Speaker 1>cast components on autobodies was a great first application of

0:23:05.680 --> 0:23:10.240
<v Speaker 1>industrial robots for a few reasons. Die Casting is a

0:23:10.280 --> 0:23:14.960
<v Speaker 1>process involving molten metal. You take that molten metal and

0:23:15.000 --> 0:23:17.960
<v Speaker 1>you force it into steel molds, and these are water

0:23:18.200 --> 0:23:22.359
<v Speaker 1>called dyes. The molten metal cools in the exact shape

0:23:22.400 --> 0:23:25.160
<v Speaker 1>of the mold. So this is a way to make

0:23:25.480 --> 0:23:28.560
<v Speaker 1>or cast a bunch of identical parts out of metal

0:23:28.800 --> 0:23:33.800
<v Speaker 1>and get consistent quality out of it rather than forging

0:23:33.920 --> 0:23:37.280
<v Speaker 1>each piece and then fitting them together. A dye can

0:23:37.320 --> 0:23:41.120
<v Speaker 1>have complex shapes in it, such as external threads, which

0:23:41.119 --> 0:23:44.160
<v Speaker 1>means you don't have to make a pipe, for example,

0:23:44.200 --> 0:23:47.720
<v Speaker 1>and then do a secondary process on that pipe to

0:23:47.800 --> 0:23:49.520
<v Speaker 1>get the result you want, So you wouldn't have to

0:23:49.600 --> 0:23:53.960
<v Speaker 1>carve those threads into a otherwise smooth pipe. You could

0:23:54.000 --> 0:23:58.480
<v Speaker 1>just cast the pipe with the threads incorporated on it already.

0:23:58.920 --> 0:24:03.240
<v Speaker 1>But welding die cast parts onto autobodies is hard work.

0:24:03.440 --> 0:24:06.479
<v Speaker 1>The components are really heavy, so you're at risk of

0:24:06.760 --> 0:24:09.960
<v Speaker 1>immediate injury if something goes wrong, like let's say you

0:24:10.080 --> 0:24:13.360
<v Speaker 1>drop a weighty component on your foot, or you might

0:24:13.600 --> 0:24:17.399
<v Speaker 1>develop a repetitive stress injury after going through the same

0:24:17.520 --> 0:24:21.840
<v Speaker 1>welding motions over and over again. In addition, the fumes

0:24:21.880 --> 0:24:25.600
<v Speaker 1>given off while welding were sometimes toxic still are, so

0:24:26.040 --> 0:24:28.119
<v Speaker 1>it's not great to have people exposed to them for

0:24:28.240 --> 0:24:31.199
<v Speaker 1>very long. So a robot was a great substitute for

0:24:31.280 --> 0:24:33.919
<v Speaker 1>a person. The robot could handle much greater weight than

0:24:33.960 --> 0:24:37.280
<v Speaker 1>people could The robot didn't breathe, so there was no

0:24:37.600 --> 0:24:41.000
<v Speaker 1>respiratory issue there, and it didn't get tired. I mean,

0:24:41.040 --> 0:24:43.600
<v Speaker 1>it would wear down over time, but you could repair

0:24:43.640 --> 0:24:47.640
<v Speaker 1>it in fairly short order. The Unimate worked with computer

0:24:47.680 --> 0:24:52.200
<v Speaker 1>controlled hydraulic systems. A hydraulic system uses a liquid that's

0:24:52.359 --> 0:24:56.120
<v Speaker 1>under pressure in order to do work like pushing against

0:24:56.119 --> 0:24:58.800
<v Speaker 1>a piston to power an actuator of some sort like

0:24:58.920 --> 0:25:03.520
<v Speaker 1>lift a platform. The UNIMATE zero zero one weighed twenty

0:25:03.680 --> 0:25:07.320
<v Speaker 1>seven hundred pounds or about one two hundred and twenty

0:25:07.359 --> 0:25:10.720
<v Speaker 1>five kilograms, and it could work twenty four hours a day,

0:25:10.800 --> 0:25:15.080
<v Speaker 1>placing components with a precision of within one fifty thousandth

0:25:15.320 --> 0:25:17.680
<v Speaker 1>of an inch. Now I'm not going to do the

0:25:17.720 --> 0:25:20.120
<v Speaker 1>conversion on that, because I think it's sufficient to say

0:25:20.200 --> 0:25:25.119
<v Speaker 1>that it was just really precise. According to a charmingly

0:25:25.240 --> 0:25:29.720
<v Speaker 1>dated newsreel from Britain, complete with swinging sixties music that

0:25:29.800 --> 0:25:32.480
<v Speaker 1>sounded like it came straight off an Austin Powers movie,

0:25:32.840 --> 0:25:35.600
<v Speaker 1>the robot could operate for five hundred hours without the

0:25:35.600 --> 0:25:38.840
<v Speaker 1>need for a human to check in on it. Engelberger,

0:25:39.040 --> 0:25:43.520
<v Speaker 1>a savvy businessman and promoter, would arrange for Unimate to

0:25:43.640 --> 0:25:47.120
<v Speaker 1>show what it could do at trade shows and on

0:25:47.240 --> 0:25:52.200
<v Speaker 1>TV appearances, including one on The Tonight Show with Johnny Carson.

0:25:52.640 --> 0:25:55.280
<v Speaker 1>If you don't know who that is, ask your parents,

0:25:55.520 --> 0:26:01.080
<v Speaker 1>and if they don't know, ask your grandparents. Nineteen sixty nine,

0:26:01.240 --> 0:26:05.080
<v Speaker 1>General Motors had jumped on board the robot train, as

0:26:05.119 --> 0:26:09.720
<v Speaker 1>it were. They rebuilt a manufacturing plant in Lordstown, Ohio,

0:26:09.960 --> 0:26:13.320
<v Speaker 1>and they installed unimate robots to perform spot welding on

0:26:13.440 --> 0:26:17.520
<v Speaker 1>car bodies, and the results spoke for themselves. The plant

0:26:17.640 --> 0:26:21.560
<v Speaker 1>was capable of producing one hundred and ten cars per hour,

0:26:21.840 --> 0:26:24.840
<v Speaker 1>which was more than double the speed that the plant

0:26:24.880 --> 0:26:29.000
<v Speaker 1>could manage before the installation of the robots. The business

0:26:29.040 --> 0:26:33.240
<v Speaker 1>case for the robots seemed clear. After a hefty upfront cost,

0:26:33.600 --> 0:26:36.800
<v Speaker 1>you could produce way more stuff per day, and as

0:26:36.840 --> 0:26:39.840
<v Speaker 1>long as the demand for that stuff is high enough,

0:26:40.320 --> 0:26:42.960
<v Speaker 1>it could mean greater revenue. You could also bring the

0:26:43.000 --> 0:26:46.439
<v Speaker 1>cost of production for an individual unit down. Then you

0:26:46.480 --> 0:26:49.200
<v Speaker 1>could pass savings on to customers and get really competitive

0:26:49.240 --> 0:26:52.159
<v Speaker 1>with your pricing, or you could just keep everything priced

0:26:52.160 --> 0:26:55.520
<v Speaker 1>the same and try to increase your profit margin. The

0:26:55.600 --> 0:26:58.040
<v Speaker 1>key to all this was that you had to be

0:26:58.160 --> 0:27:01.160
<v Speaker 1>sure the thing you were producing would bring in enough

0:27:01.200 --> 0:27:04.320
<v Speaker 1>money to offset the cost of automation, so it would

0:27:04.400 --> 0:27:07.800
<v Speaker 1>not make sense to spend millions of dollars building out

0:27:07.800 --> 0:27:10.840
<v Speaker 1>a factory staffed with robots. If you were making something

0:27:10.920 --> 0:27:13.960
<v Speaker 1>that had a very small market to begin with, yes,

0:27:14.320 --> 0:27:17.160
<v Speaker 1>you'd be able to produce way more Watching My colle

0:27:17.160 --> 0:27:20.159
<v Speaker 1>its than you could before. But if the demand for

0:27:20.280 --> 0:27:24.200
<v Speaker 1>Watchma collets is really modest, that doesn't do you any good.

0:27:24.720 --> 0:27:27.239
<v Speaker 1>In fact, you might end up flooding the market and

0:27:27.359 --> 0:27:31.359
<v Speaker 1>devaluing your product. So while robots were taking on jobs

0:27:31.359 --> 0:27:34.000
<v Speaker 1>that were previously held by humans, there was no real

0:27:34.080 --> 0:27:37.480
<v Speaker 1>danger of a massive upheaval where everything would be automated.

0:27:37.760 --> 0:27:40.960
<v Speaker 1>The limitations in the technology were just too great and

0:27:41.000 --> 0:27:43.560
<v Speaker 1>the cost was too high for most companies to go

0:27:43.640 --> 0:27:46.960
<v Speaker 1>that route. And this also became the starting point for

0:27:47.040 --> 0:27:51.000
<v Speaker 1>something that would become really important that the main goal

0:27:51.119 --> 0:27:55.840
<v Speaker 1>of developing industrial robots wasn't to displace humans. It was

0:27:55.880 --> 0:28:00.520
<v Speaker 1>meant to offload duties that were dull, dirty, or days.

0:28:00.600 --> 0:28:04.120
<v Speaker 1>You'll often hear those terms being used with robotics if

0:28:04.160 --> 0:28:06.640
<v Speaker 1>it is a job that carries with it a significant

0:28:06.720 --> 0:28:09.399
<v Speaker 1>risk to the person performing it, or a job so

0:28:09.600 --> 0:28:12.000
<v Speaker 1>demanding that you can only expect a person to stick

0:28:12.000 --> 0:28:14.040
<v Speaker 1>with it for a short while before they need to

0:28:14.080 --> 0:28:17.679
<v Speaker 1>do something else. Then building a robot to do that job,

0:28:17.800 --> 0:28:21.040
<v Speaker 1>or at least that list of tasks makes sense. The

0:28:21.200 --> 0:28:24.760
<v Speaker 1>robot is just a thing. It can endure conditions that

0:28:24.840 --> 0:28:27.679
<v Speaker 1>humans can't, and it doesn't get sick, and it doesn't

0:28:27.680 --> 0:28:31.520
<v Speaker 1>get hurt. If something breaks down, you can typically repair

0:28:31.560 --> 0:28:35.800
<v Speaker 1>it pretty quickly. We humans don't have that luxury. Now,

0:28:35.840 --> 0:28:38.400
<v Speaker 1>I'm not going to go and run down a full

0:28:38.520 --> 0:28:42.200
<v Speaker 1>history of all industrial robots because that would mostly involve

0:28:42.240 --> 0:28:45.960
<v Speaker 1>me talking about model numbers with slight differences like the

0:28:46.080 --> 0:28:49.320
<v Speaker 1>number of axes of movement or points of articulation for

0:28:49.440 --> 0:28:52.120
<v Speaker 1>one robot versus another, and that's not really interesting. But

0:28:52.160 --> 0:28:55.480
<v Speaker 1>I do want to hit a couple of highlights. One

0:28:55.640 --> 0:29:02.440
<v Speaker 1>is that in nineteen seventy five, the ASEAB robot would

0:29:02.480 --> 0:29:07.320
<v Speaker 1>be the first fully electrically driven robot. It also used

0:29:07.400 --> 0:29:11.600
<v Speaker 1>Intel's first chip set as processors. Now, this was not

0:29:11.840 --> 0:29:16.960
<v Speaker 1>a super strong robot because those electrically driven limbs just

0:29:17.040 --> 0:29:19.720
<v Speaker 1>can't pack the same punch as a hydraulic system, which

0:29:19.760 --> 0:29:24.520
<v Speaker 1>typically moves much more slowly but can handle much heavier payloads.

0:29:24.920 --> 0:29:28.600
<v Speaker 1>So this particular robot could only lift weights up to

0:29:28.760 --> 0:29:33.040
<v Speaker 1>around thirteen pounds or six kilograms, but the move toward

0:29:33.160 --> 0:29:37.720
<v Speaker 1>processors and electrically driven components marked a big technological step,

0:29:37.920 --> 0:29:42.360
<v Speaker 1>even if the arm's physical capabilities were much less impressive

0:29:42.520 --> 0:29:46.920
<v Speaker 1>than a hydraulic system. By the end of the nineteen seventies,

0:29:47.320 --> 0:29:50.680
<v Speaker 1>Japan was getting into the robotics game with arc welding

0:29:50.760 --> 0:29:55.040
<v Speaker 1>robots for assembly lines, and then it was off to

0:29:55.120 --> 0:29:58.600
<v Speaker 1>the robotic races, with the eighties seeing a surge in

0:29:58.720 --> 0:30:05.440
<v Speaker 1>advances with industrial robots. Soon, massive manufacturing facilities were installing

0:30:05.520 --> 0:30:08.720
<v Speaker 1>robots to take over elements of the assembly line process,

0:30:08.840 --> 0:30:14.000
<v Speaker 1>particularly in that dirty, dull, and dangerous category. The robots

0:30:14.000 --> 0:30:18.440
<v Speaker 1>became more sophisticated, which also added to their value. When

0:30:18.440 --> 0:30:21.360
<v Speaker 1>we come back, I'll talk more about why that's important,

0:30:21.360 --> 0:30:32.240
<v Speaker 1>but first let's take another quick break. By the mid

0:30:32.360 --> 0:30:36.480
<v Speaker 1>nineteen nineties, robotics companies were making machines that could coordinate

0:30:36.560 --> 0:30:39.479
<v Speaker 1>and synchronize the movements of more than one robot at

0:30:39.520 --> 0:30:44.200
<v Speaker 1>the same time, allowing for more complex manufacturing processes. By

0:30:44.200 --> 0:30:47.320
<v Speaker 1>the early two thousands, there were systems that could synchronize

0:30:47.360 --> 0:30:50.120
<v Speaker 1>the actions of up to four robots at a time,

0:30:50.560 --> 0:30:54.480
<v Speaker 1>further adding to the overall system flexibility. Now, I mentioned

0:30:54.560 --> 0:30:58.920
<v Speaker 1>earlier that a programmable robot is more versatile than something

0:30:59.000 --> 0:31:03.680
<v Speaker 1>like a cam operated system. Well, more sophisticated robots, with

0:31:03.760 --> 0:31:08.120
<v Speaker 1>more axes of motion and more points of articulation have

0:31:08.240 --> 0:31:11.959
<v Speaker 1>the potential to do lots of different types of jobs,

0:31:12.360 --> 0:31:15.560
<v Speaker 1>and this is of critical importance. If the robot is

0:31:15.600 --> 0:31:19.000
<v Speaker 1>too limited, if you can only do a small range

0:31:19.080 --> 0:31:24.200
<v Speaker 1>of motions, you can't necessarily repurpose it for new processes.

0:31:24.400 --> 0:31:27.440
<v Speaker 1>And as markets change, you may find yourself needing to

0:31:27.480 --> 0:31:30.320
<v Speaker 1>be flexible when it comes to the stuff you're manufacturing.

0:31:30.720 --> 0:31:34.920
<v Speaker 1>So let's use an extreme hypothetical example that would probably

0:31:35.040 --> 0:31:38.880
<v Speaker 1>never happen. So let's say that you run an auto

0:31:38.880 --> 0:31:43.479
<v Speaker 1>manufacturing facility, but then there's a massive market change and

0:31:43.520 --> 0:31:47.160
<v Speaker 1>it drastically affects the demand for your cars. There's just

0:31:47.280 --> 0:31:51.840
<v Speaker 1>not enough demand to support the production. So rather than

0:31:51.960 --> 0:31:55.480
<v Speaker 1>just you know, closing up shop and calling it a day,

0:31:55.960 --> 0:31:59.160
<v Speaker 1>your business decides to do an amazing pivot and you

0:31:59.200 --> 0:32:03.320
<v Speaker 1>begin to convert your manufacturing facility over to I don't know,

0:32:04.080 --> 0:32:08.040
<v Speaker 1>home appliances. Now, again, this is an extreme hypothetical example,

0:32:08.080 --> 0:32:11.239
<v Speaker 1>but let's just go with it. Okay, So here we go.

0:32:11.560 --> 0:32:15.000
<v Speaker 1>If the robots on your assembly line are powerful, but

0:32:15.320 --> 0:32:19.080
<v Speaker 1>limited in movement and function. You may find it impossible

0:32:19.120 --> 0:32:21.480
<v Speaker 1>to adapt them to your new line of business, which

0:32:21.520 --> 0:32:24.960
<v Speaker 1>would mean you need to either invest in new robots

0:32:25.440 --> 0:32:28.440
<v Speaker 1>or you'd have to hire human workers to put together

0:32:28.480 --> 0:32:31.760
<v Speaker 1>your appliances. And it would also mean that your old

0:32:31.880 --> 0:32:34.240
<v Speaker 1>robots would be a sunk cost. You would need to

0:32:34.280 --> 0:32:37.200
<v Speaker 1>either sell them off or put them in storage or something.

0:32:37.640 --> 0:32:40.920
<v Speaker 1>If the robots are really sophisticated, however, you might be

0:32:40.960 --> 0:32:43.720
<v Speaker 1>able to program them to do some of the operations

0:32:43.760 --> 0:32:47.240
<v Speaker 1>on the new assembly line, and that would keep them useful,

0:32:47.240 --> 0:32:50.479
<v Speaker 1>it would lower the cost of production. Or, for a

0:32:50.720 --> 0:32:54.959
<v Speaker 1>less extreme example, you introduce a new model of whatever

0:32:55.120 --> 0:32:58.800
<v Speaker 1>thing it is that you're producing. Anything new will require

0:32:58.840 --> 0:33:02.000
<v Speaker 1>adjustments in the assembly line process, and if the changes

0:33:02.040 --> 0:33:04.600
<v Speaker 1>are big enough, the robots may not be able to

0:33:05.080 --> 0:33:08.320
<v Speaker 1>make as big a contribution in the process. That's something

0:33:08.320 --> 0:33:11.800
<v Speaker 1>that could happen with the example of the PlayStation we

0:33:11.800 --> 0:33:14.160
<v Speaker 1>were talking about. Yeah, those robots can put together a

0:33:14.200 --> 0:33:17.320
<v Speaker 1>PS four and thirty seconds. There's no guarantee they'll be

0:33:17.360 --> 0:33:19.400
<v Speaker 1>able to do the same thing with a PS five,

0:33:19.680 --> 0:33:23.880
<v Speaker 1>at least not without a major overhaul of their assembly line. System.

0:33:24.360 --> 0:33:27.120
<v Speaker 1>While the manufacturing facility can churn out a finished PS

0:33:27.160 --> 0:33:30.560
<v Speaker 1>four and thirty seconds, we might not see them work

0:33:30.600 --> 0:33:33.200
<v Speaker 1>at all with PS five, at least not right away.

0:33:33.560 --> 0:33:36.280
<v Speaker 1>It would all have to be optimized. So for decades,

0:33:36.520 --> 0:33:40.600
<v Speaker 1>industrial robots were kept as separate from human workers as

0:33:40.840 --> 0:33:45.000
<v Speaker 1>was possible. You wanted to keep them well away from

0:33:45.040 --> 0:33:46.920
<v Speaker 1>all the people, or keep the people well away from

0:33:46.920 --> 0:33:50.520
<v Speaker 1>all the robots. Often the robots would operate within cages

0:33:50.880 --> 0:33:55.000
<v Speaker 1>specifically to limit the possibility of a human coming within range.

0:33:55.720 --> 0:34:00.880
<v Speaker 1>After all, these robots are large, they're heavy, powerful, and

0:34:01.120 --> 0:34:04.440
<v Speaker 1>many of them are incapable of sensing stuff in their

0:34:04.640 --> 0:34:08.160
<v Speaker 1>environment and whether or not a human is within their

0:34:08.280 --> 0:34:11.279
<v Speaker 1>range of motion. Instead, they're just going through that pre

0:34:11.400 --> 0:34:15.000
<v Speaker 1>programmed series of motions and they're not going to stop

0:34:15.080 --> 0:34:18.600
<v Speaker 1>unless someone turns it off. A robot is performing that

0:34:18.680 --> 0:34:20.640
<v Speaker 1>same series of steps over and over, and that can

0:34:20.680 --> 0:34:24.759
<v Speaker 1>mean that if a human in that area gets near

0:34:24.840 --> 0:34:27.440
<v Speaker 1>the robot, they could end up getting injured or worse.

0:34:27.480 --> 0:34:30.120
<v Speaker 1>And in fact, this has happened several times over the

0:34:30.120 --> 0:34:32.600
<v Speaker 1>course of the last few decades, and at least in

0:34:32.640 --> 0:34:35.520
<v Speaker 1>some cases it seems as though the robot might have

0:34:35.600 --> 0:34:38.799
<v Speaker 1>been at fault meaning it's not always a case of

0:34:38.920 --> 0:34:43.640
<v Speaker 1>human carelessness. For example, an engineer in twenty fifteen died

0:34:43.719 --> 0:34:46.400
<v Speaker 1>when a robot armed from one section of the factory

0:34:46.440 --> 0:34:52.200
<v Speaker 1>floor moved beyond its operating area and into the neighboring

0:34:52.280 --> 0:34:55.520
<v Speaker 1>section that the engineer was working in. This is something

0:34:55.560 --> 0:34:57.880
<v Speaker 1>that should not have happened. The robot arms should not

0:34:57.960 --> 0:35:02.640
<v Speaker 1>have moved that far into the neighboring section. The robot

0:35:02.719 --> 0:35:05.480
<v Speaker 1>arm hit the engineer on the head, and she later

0:35:05.600 --> 0:35:09.640
<v Speaker 1>died from her injuries. In the United States, the government

0:35:09.719 --> 0:35:13.520
<v Speaker 1>has listed thirty three workplace deaths due to accidents with

0:35:13.600 --> 0:35:18.000
<v Speaker 1>industrial robots between the years nineteen eighty four and twenty fourteen.

0:35:18.600 --> 0:35:23.839
<v Speaker 1>The investigations also found that the majority of those tragedies

0:35:24.640 --> 0:35:28.640
<v Speaker 1>was typically the fault of human error. There was a

0:35:28.680 --> 0:35:32.400
<v Speaker 1>person who was wandering into the operation zone of a robot.

0:35:32.560 --> 0:35:36.759
<v Speaker 1>That twenty fifteen incident was an outlier. Not that any

0:35:36.800 --> 0:35:39.520
<v Speaker 1>of this makes the thought of working around industrial robots

0:35:39.600 --> 0:35:43.120
<v Speaker 1>less scary or those other accidents any less tragic. They're

0:35:43.120 --> 0:35:47.920
<v Speaker 1>all terribly tragic. Moreover, we're seeing more robots that are

0:35:47.920 --> 0:35:51.680
<v Speaker 1>capable of roaming a work space. They are no longer

0:35:51.719 --> 0:35:54.640
<v Speaker 1>anchored to a specific spot on the floor. In some cases,

0:35:55.000 --> 0:35:59.960
<v Speaker 1>they also, unlike the first industrial robots, typically have external sense.

0:36:00.840 --> 0:36:03.840
<v Speaker 1>These not only help the robots navigate their environments, but

0:36:03.920 --> 0:36:10.240
<v Speaker 1>also hopefully avoid accidents with human workers. Let's take Amazon's

0:36:10.480 --> 0:36:14.960
<v Speaker 1>warehouse robots for example. These robots look like really big

0:36:15.080 --> 0:36:19.480
<v Speaker 1>robotic vacuum cleaners. They are designed to roll under shelves

0:36:19.800 --> 0:36:23.800
<v Speaker 1>and the shelves are just slightly larger than the dimensions

0:36:23.840 --> 0:36:26.600
<v Speaker 1>of the robot. And when an order comes in, a

0:36:26.680 --> 0:36:29.560
<v Speaker 1>robot from the warehouse rolls over to a shelf that

0:36:29.760 --> 0:36:34.040
<v Speaker 1>holds the respective item on it according to the inventory system,

0:36:34.320 --> 0:36:37.600
<v Speaker 1>and the robot goes under the shelf then lifts the

0:36:37.600 --> 0:36:41.319
<v Speaker 1>shelf by raising a platter like platform on the top

0:36:41.360 --> 0:36:42.879
<v Speaker 1>of the robot. Think of it as like a little

0:36:42.920 --> 0:36:45.200
<v Speaker 1>fork left, except it's more like a I don't know,

0:36:45.480 --> 0:36:47.920
<v Speaker 1>like a tray that a waiter would use to carry

0:36:48.000 --> 0:36:51.200
<v Speaker 1>drinks to a table. But it carries the whole shelf

0:36:51.400 --> 0:36:54.319
<v Speaker 1>up and over to the edge of a cage, where

0:36:54.320 --> 0:36:58.000
<v Speaker 1>a human operator will take the respective item off the

0:36:58.080 --> 0:37:01.200
<v Speaker 1>shelf and scan it and put it into a bin.

0:37:01.360 --> 0:37:03.960
<v Speaker 1>And then those bins go to other humans who further

0:37:04.080 --> 0:37:06.840
<v Speaker 1>scan those items and then put them into other bins

0:37:06.840 --> 0:37:09.680
<v Speaker 1>that ultimately go to the packing department. And if you

0:37:09.719 --> 0:37:12.600
<v Speaker 1>watch videos of these robots, it looks like they're doing

0:37:12.640 --> 0:37:17.400
<v Speaker 1>a complicated ballet as they maneuver through this warehouse, avoiding

0:37:17.400 --> 0:37:22.240
<v Speaker 1>other robots and shelves. As they bring those shelves to humans.

0:37:23.200 --> 0:37:26.399
<v Speaker 1>Markings on the warehouse floor tell the robots where they

0:37:26.400 --> 0:37:29.200
<v Speaker 1>are with respect to everything else in the warehouse, and

0:37:29.280 --> 0:37:33.640
<v Speaker 1>the robots even will position shelves that have items that

0:37:33.680 --> 0:37:36.400
<v Speaker 1>are being ordered a lot toward the edges of this

0:37:36.560 --> 0:37:39.839
<v Speaker 1>space so that they're easier to get to and move

0:37:39.880 --> 0:37:42.480
<v Speaker 1>them over to the human beings. So it's kind of

0:37:42.520 --> 0:37:45.239
<v Speaker 1>an interesting dynamic system. It's not like they pick up

0:37:45.280 --> 0:37:48.200
<v Speaker 1>the shelf and then bring the shelf immediately right back

0:37:48.239 --> 0:37:50.600
<v Speaker 1>to where it started. The shelf can end up in

0:37:50.640 --> 0:37:55.720
<v Speaker 1>a different location entirely. In addition, cameras give the robots

0:37:55.760 --> 0:37:59.479
<v Speaker 1>the ability to sense any obstacles that might block their path,

0:37:59.600 --> 0:38:01.920
<v Speaker 1>allowing the robot to come to a stop and a

0:38:01.920 --> 0:38:06.480
<v Speaker 1>wait further instructions and report that it has found something

0:38:06.680 --> 0:38:11.440
<v Speaker 1>unusual on the warehouse floor. Even so, typically humans are

0:38:11.480 --> 0:38:14.640
<v Speaker 1>not allowed to roam the area where the robots pick

0:38:14.719 --> 0:38:17.680
<v Speaker 1>up shelves if something has fallen on the warehouse floor.

0:38:17.760 --> 0:38:22.200
<v Speaker 1>A designated troubleshooter gets an alert, and that person must

0:38:22.280 --> 0:38:24.920
<v Speaker 1>use an interface to draw the path that they are

0:38:24.960 --> 0:38:28.839
<v Speaker 1>going to take from the entrance of the cage all

0:38:28.920 --> 0:38:32.520
<v Speaker 1>the way to the point of trouble. Like let's say

0:38:32.560 --> 0:38:35.000
<v Speaker 1>that a product has fallen out of a shelf and

0:38:35.000 --> 0:38:36.920
<v Speaker 1>has hit the floor, and a robot has reported it.

0:38:37.640 --> 0:38:39.920
<v Speaker 1>You would use a tablet. If you're the troubleshooter, you'd

0:38:40.000 --> 0:38:42.440
<v Speaker 1>use a tablet and you would draw, almost like a maze,

0:38:42.800 --> 0:38:46.920
<v Speaker 1>the path you would take to get to that particular item,

0:38:47.080 --> 0:38:51.200
<v Speaker 1>and you would follow that path out and back. In addition,

0:38:51.760 --> 0:38:55.080
<v Speaker 1>you'd wear a radio transmitter that would send a signal

0:38:55.120 --> 0:38:57.600
<v Speaker 1>out that the robots could all detect, and that would

0:38:57.600 --> 0:39:00.839
<v Speaker 1>alert the robots to the presence of you, the troubleshooter.

0:39:01.520 --> 0:39:04.080
<v Speaker 1>That helps prevent a situation in which the robots are

0:39:04.120 --> 0:39:08.920
<v Speaker 1>going to collide with you, right, you want to avoid that. Now,

0:39:08.920 --> 0:39:11.560
<v Speaker 1>there's a lot of work that goes into designing robots

0:39:11.600 --> 0:39:14.920
<v Speaker 1>that can interoperate in a space that's occupied by humans,

0:39:15.400 --> 0:39:18.080
<v Speaker 1>and it's a very challenging line of technology because it

0:39:18.120 --> 0:39:21.240
<v Speaker 1>takes more than just thinking about how the machines work

0:39:21.480 --> 0:39:25.120
<v Speaker 1>you also have to think about how people work, and moreover,

0:39:25.520 --> 0:39:28.200
<v Speaker 1>you have to think about how people change the way

0:39:28.239 --> 0:39:30.560
<v Speaker 1>they work when they're in the company of a robot.

0:39:30.800 --> 0:39:35.680
<v Speaker 1>It's kind of similar to the concept in quantum theory, right,

0:39:35.719 --> 0:39:38.839
<v Speaker 1>the idea that you change a thing you observe just

0:39:38.880 --> 0:39:43.239
<v Speaker 1>through the act of observation. Well, you can have a

0:39:43.680 --> 0:39:47.200
<v Speaker 1>workspace that humans had only been working in for a while,

0:39:48.040 --> 0:39:49.839
<v Speaker 1>and you could say, all right, well, I've observed how

0:39:49.840 --> 0:39:51.680
<v Speaker 1>the humans work, and I'm going to build a robot

0:39:51.680 --> 0:39:55.080
<v Speaker 1>that does this one task that the humans do, and

0:39:55.280 --> 0:39:58.239
<v Speaker 1>I'm just going to incorporate right into their workspace. But

0:39:58.320 --> 0:40:00.440
<v Speaker 1>then you find out that when you do that, the

0:40:00.520 --> 0:40:03.040
<v Speaker 1>humans all behave in a new way because there's a

0:40:03.080 --> 0:40:06.239
<v Speaker 1>new thing in the environment that you didn't account for,

0:40:06.680 --> 0:40:09.360
<v Speaker 1>and now the design of your robot doesn't work as well.

0:40:10.000 --> 0:40:14.200
<v Speaker 1>We humans are tricky like that. Moreover, we need to

0:40:14.200 --> 0:40:17.480
<v Speaker 1>get to that threat that weavers were worried about more

0:40:17.520 --> 0:40:22.400
<v Speaker 1>than a century ago. Is automation going to take our jobs? Now?

0:40:22.440 --> 0:40:26.400
<v Speaker 1>There have been a few studies, all using different methodologies,

0:40:26.760 --> 0:40:29.480
<v Speaker 1>and some of those studies coming under criticism for the

0:40:29.560 --> 0:40:32.839
<v Speaker 1>approaches that were used. But there have been a few

0:40:32.840 --> 0:40:36.400
<v Speaker 1>studies that suggest we'll see automation continue to impact jobs

0:40:36.440 --> 0:40:40.200
<v Speaker 1>in the near future and drastically so over the course

0:40:40.239 --> 0:40:43.799
<v Speaker 1>of the long run. The interpretation of those results have

0:40:43.840 --> 0:40:47.960
<v Speaker 1>been reported in ways that range from automation is going

0:40:48.000 --> 0:40:51.400
<v Speaker 1>to be disruptive that's on the light end to fifty

0:40:51.400 --> 0:40:53.319
<v Speaker 1>percent of all jobs are going to be taken by

0:40:53.320 --> 0:40:57.800
<v Speaker 1>the robots. So what's the actual truth. Well, the truth,

0:40:57.880 --> 0:41:02.200
<v Speaker 1>as it turns out, is complex. For one thing, automation

0:41:02.719 --> 0:41:06.600
<v Speaker 1>rarely takes over an entire job. What is far more

0:41:06.800 --> 0:41:10.160
<v Speaker 1>likely to happen is that automation will take over certain

0:41:10.400 --> 0:41:15.080
<v Speaker 1>tasks that are part of a job, or perhaps multiple jobs.

0:41:15.680 --> 0:41:18.880
<v Speaker 1>So if a job requires a wide variety of tasks,

0:41:19.280 --> 0:41:23.080
<v Speaker 1>some of which may require critical thinking, it's really hard

0:41:23.080 --> 0:41:25.640
<v Speaker 1>to design a robot that can do all of that.

0:41:26.239 --> 0:41:30.360
<v Speaker 1>It's far more likely that you would automate certain job responsibilities,

0:41:30.680 --> 0:41:34.240
<v Speaker 1>which would mean that those jobs themselves wouldn't go away,

0:41:34.600 --> 0:41:40.000
<v Speaker 1>they would just change. The repetitive responsibilities would be offloaded,

0:41:40.080 --> 0:41:42.680
<v Speaker 1>and you would focus on something else. You might have

0:41:42.719 --> 0:41:45.360
<v Speaker 1>to spend more time doing other duties rather than the

0:41:45.480 --> 0:41:49.960
<v Speaker 1>routine ones, which isn't necessarily a bad thing, but there

0:41:49.960 --> 0:41:54.800
<v Speaker 1>are cases where automation would likely take over an entire job,

0:41:55.120 --> 0:42:00.239
<v Speaker 1>for example, truck drivers in shipping trucks. Much of the

0:42:00.280 --> 0:42:04.480
<v Speaker 1>work in autonomous vehicles is really focusing not necessarily on

0:42:04.520 --> 0:42:10.480
<v Speaker 1>replacing passenger vehicles so much as commercial vehicles like shipping trucks.

0:42:11.480 --> 0:42:15.560
<v Speaker 1>The Bureau of Labor Statistics in the United States estimated

0:42:15.600 --> 0:42:18.520
<v Speaker 1>that the age of the average US truck driver is

0:42:18.640 --> 0:42:22.279
<v Speaker 1>fifty five and more than ninety percent of all truck

0:42:22.360 --> 0:42:26.080
<v Speaker 1>drivers in the US are mail and that will present

0:42:26.200 --> 0:42:31.160
<v Speaker 1>a challenge see Generally, the pro argument for automation is

0:42:31.200 --> 0:42:35.760
<v Speaker 1>that while robots and automated systems will eliminate some jobs,

0:42:36.120 --> 0:42:41.520
<v Speaker 1>they will create other jobs, presumably better jobs. And this

0:42:41.719 --> 0:42:45.000
<v Speaker 1>is true. At the turn of the twentieth century, forty

0:42:45.080 --> 0:42:48.760
<v Speaker 1>percent of all jobs in the United States were on farms.

0:42:49.360 --> 0:42:52.120
<v Speaker 1>So that means four out of ten people in the

0:42:52.280 --> 0:42:56.480
<v Speaker 1>US who had a job we're working on a farm. Today,

0:42:57.160 --> 0:43:01.200
<v Speaker 1>Agriculture and all the related food sectors make up just

0:43:01.400 --> 0:43:04.200
<v Speaker 1>eleven percent of all jobs in the United States. And

0:43:04.440 --> 0:43:06.319
<v Speaker 1>if we just limit this to the people who are

0:43:06.360 --> 0:43:10.080
<v Speaker 1>working on farms, you know, not all agricultural jobs and

0:43:10.120 --> 0:43:13.279
<v Speaker 1>food sector jobs, just the farm jobs. If we do that,

0:43:13.640 --> 0:43:17.680
<v Speaker 1>we're talking about only one point three percent of all

0:43:17.880 --> 0:43:21.600
<v Speaker 1>US employment, So going from forty percent to one point

0:43:21.640 --> 0:43:25.239
<v Speaker 1>three percent, that's a drastic change. Now, clearly automation has

0:43:25.440 --> 0:43:29.480
<v Speaker 1>transformed agriculture. It allows us to do a lot more

0:43:29.719 --> 0:43:34.400
<v Speaker 1>while relying on fewer people, and new jobs did come around,

0:43:34.520 --> 0:43:38.800
<v Speaker 1>so we didn't see an unemployment rate reaching levels higher

0:43:38.840 --> 0:43:45.720
<v Speaker 1>than forty percent pre COVID. The pro automation argument states

0:43:45.760 --> 0:43:49.839
<v Speaker 1>that new jobs, which again should ideally be better than

0:43:49.960 --> 0:43:53.279
<v Speaker 1>existing jobs, as in less strenuous and less dangerous and

0:43:53.320 --> 0:43:57.480
<v Speaker 1>more interesting, will emerge as older jobs are phased out.

0:43:58.239 --> 0:44:01.440
<v Speaker 1>Now that works fine on a macro scale when you're

0:44:01.480 --> 0:44:04.880
<v Speaker 1>taking a really big picture look at the overall trends,

0:44:04.920 --> 0:44:08.000
<v Speaker 1>but when you consider the particulars, like our truck drivers,

0:44:08.400 --> 0:44:12.200
<v Speaker 1>you start to see some obstacles. See this year, I

0:44:12.280 --> 0:44:16.080
<v Speaker 1>turned forty five, so I'm a lot closer to the

0:44:16.120 --> 0:44:18.920
<v Speaker 1>average age of a truck driver in the United States

0:44:19.440 --> 0:44:21.719
<v Speaker 1>than I am to someone who's just getting into the

0:44:21.800 --> 0:44:24.520
<v Speaker 1>job market for the first time. And I can tell

0:44:24.560 --> 0:44:28.759
<v Speaker 1>you that even as a relatively tech savvy guy, I

0:44:28.800 --> 0:44:32.640
<v Speaker 1>would find it really challenging to pick up the job skills.

0:44:32.680 --> 0:44:35.640
<v Speaker 1>I would need to go into a different line of work,

0:44:35.920 --> 0:44:40.400
<v Speaker 1>particularly one where I'm competing against people who already have

0:44:40.640 --> 0:44:44.560
<v Speaker 1>training and experience in that field. So imagine having to

0:44:44.560 --> 0:44:47.120
<v Speaker 1>tell a group of fifty five year old truck drivers

0:44:47.640 --> 0:44:50.440
<v Speaker 1>that they're out of a job. But good news, if

0:44:50.440 --> 0:44:52.960
<v Speaker 1>you just start taking classes, you can learn to code

0:44:53.440 --> 0:44:56.680
<v Speaker 1>and make less money than you did in your old job.

0:44:57.480 --> 0:45:00.600
<v Speaker 1>It's not great, is what I'm saying. That being said,

0:45:01.200 --> 0:45:04.440
<v Speaker 1>automation is clearly not going anywhere. It's going to continue

0:45:04.520 --> 0:45:07.480
<v Speaker 1>to play a big role in how we get work done,

0:45:07.680 --> 0:45:10.960
<v Speaker 1>and in our best case scenarios, it's going to augment

0:45:11.120 --> 0:45:14.920
<v Speaker 1>the work that humans do, leading to better, more efficient,

0:45:15.040 --> 0:45:18.520
<v Speaker 1>and more cost effective outcomes. It will free us up

0:45:18.600 --> 0:45:20.440
<v Speaker 1>to focus on the parts of our jobs that we

0:45:20.520 --> 0:45:23.759
<v Speaker 1>find the most fulfilling. We can handle the stuff that

0:45:23.800 --> 0:45:27.720
<v Speaker 1>requires flexibility and intuitive thinking, and the machines can handle

0:45:27.920 --> 0:45:32.759
<v Speaker 1>the routine and the dangerous. But in a worst case scenario,

0:45:33.280 --> 0:45:37.920
<v Speaker 1>we'll see an unprepared population of former workers who are

0:45:37.960 --> 0:45:40.880
<v Speaker 1>now out of a job and without the support system

0:45:40.960 --> 0:45:44.640
<v Speaker 1>there to help them transition into something new so that

0:45:44.680 --> 0:45:49.719
<v Speaker 1>they can continue to contribute to society and earn a living. Now,

0:45:49.760 --> 0:45:53.320
<v Speaker 1>this is why you will often hear conversations about automation

0:45:53.840 --> 0:45:59.120
<v Speaker 1>get tied into concepts like a guaranteed jobs program. This

0:45:59.160 --> 0:46:02.280
<v Speaker 1>is typically where something like a government creates a system

0:46:02.480 --> 0:46:05.480
<v Speaker 1>that makes certain every person who wants a job can

0:46:05.520 --> 0:46:10.160
<v Speaker 1>get a job. Or you'll hear about guaranteed basic income.

0:46:10.320 --> 0:46:12.840
<v Speaker 1>This is a strategy in which tax dollars go to

0:46:12.920 --> 0:46:17.319
<v Speaker 1>fund a standard income payout to all citizens so that

0:46:17.360 --> 0:46:20.960
<v Speaker 1>they can meet their most basic needs. Now, these are

0:46:21.000 --> 0:46:25.759
<v Speaker 1>big ideas, they aren't easy to implement or administer, and

0:46:25.800 --> 0:46:28.920
<v Speaker 1>they're not cheap, But it may be that they will

0:46:28.960 --> 0:46:33.160
<v Speaker 1>become necessary or some similar strategy will be needed to

0:46:33.239 --> 0:46:35.960
<v Speaker 1>make certain that we have a plan to move toward

0:46:36.480 --> 0:46:39.640
<v Speaker 1>rather than being caught in a world where a disproportionate

0:46:39.680 --> 0:46:44.360
<v Speaker 1>percentage of people can't find gainful employment. Heck, we're seeing

0:46:44.400 --> 0:46:47.600
<v Speaker 1>something like that right now due to the COVID crisis,

0:46:48.000 --> 0:46:51.759
<v Speaker 1>which is also underlining the importance of automation in a

0:46:51.800 --> 0:46:54.719
<v Speaker 1>world where it's not necessarily safe to have a bunch

0:46:54.760 --> 0:46:57.600
<v Speaker 1>of human beings all gathered in the same place at

0:46:57.640 --> 0:47:03.040
<v Speaker 1>the same time. Robots coming for our jobs, well, for

0:47:03.120 --> 0:47:06.480
<v Speaker 1>some of our jobs, definitely, many of those jobs come

0:47:06.560 --> 0:47:10.080
<v Speaker 1>with some pretty tough consequences for humans who are working

0:47:10.280 --> 0:47:14.440
<v Speaker 1>those jobs today. Those jobs may have high injury rates,

0:47:14.480 --> 0:47:17.400
<v Speaker 1>the people who work them may have lower life expectancies,

0:47:17.880 --> 0:47:19.680
<v Speaker 1>and they are a whole host of health issues that

0:47:19.680 --> 0:47:22.279
<v Speaker 1>can come along with certain jobs. So you could make

0:47:22.520 --> 0:47:25.000
<v Speaker 1>a strong argument that really this is for the best

0:47:25.120 --> 0:47:27.880
<v Speaker 1>because it will help save lives and reduce the chance

0:47:27.920 --> 0:47:31.719
<v Speaker 1>for injury or illness for a lot of people. But

0:47:31.960 --> 0:47:34.879
<v Speaker 1>for other jobs, the robots aren't likely to take over

0:47:34.960 --> 0:47:38.360
<v Speaker 1>in the near future. For a lot of jobs, automated systems,

0:47:38.719 --> 0:47:44.640
<v Speaker 1>not necessarily robots, but perhaps software based AI, will augment

0:47:45.000 --> 0:47:49.200
<v Speaker 1>what humans are doing. It's important we have conversations about

0:47:49.200 --> 0:47:52.040
<v Speaker 1>this stuff and to talk about how to address the

0:47:52.080 --> 0:47:56.560
<v Speaker 1>consequences of increased automation. There are ways we can enjoy

0:47:56.560 --> 0:47:59.960
<v Speaker 1>the benefits of automation, but only if we think critics

0:48:00.400 --> 0:48:05.680
<v Speaker 1>about it and create policies and procedures accordingly. Now I

0:48:05.719 --> 0:48:09.400
<v Speaker 1>gotta get going. I hear robo Jonathan is going to

0:48:09.400 --> 0:48:11.960
<v Speaker 1>host the next episode of Tech Stuff, and I have

0:48:12.040 --> 0:48:14.000
<v Speaker 1>to train them on how to make puns and pop

0:48:14.040 --> 0:48:19.320
<v Speaker 1>culture references. I hope you liked that episode from twenty twenty.

0:48:19.560 --> 0:48:21.520
<v Speaker 1>As I said, We've got a lot more to talk

0:48:21.520 --> 0:48:24.239
<v Speaker 1>about these days because of things like generative AI and

0:48:24.280 --> 0:48:27.239
<v Speaker 1>the concern that that could impact jobs that for a

0:48:27.280 --> 0:48:31.440
<v Speaker 1>long time people assumed we're safe from automation, especially from

0:48:31.480 --> 0:48:34.920
<v Speaker 1>things like robotics, you know, white collar jobs that people

0:48:35.000 --> 0:48:37.920
<v Speaker 1>just thought were kind of the domain of humans, And

0:48:37.960 --> 0:48:41.040
<v Speaker 1>now there's a real question as to whether or not

0:48:41.120 --> 0:48:44.080
<v Speaker 1>that's actually the case. So I think it's even more prevalent.

0:48:44.200 --> 0:48:47.640
<v Speaker 1>And again seeing the labor movement in the tech sector

0:48:47.760 --> 0:48:50.560
<v Speaker 1>in particular over the last few years tells us that

0:48:51.200 --> 0:48:54.759
<v Speaker 1>there's some very important issues still at the very heart

0:48:54.840 --> 0:48:59.440
<v Speaker 1>of technology and the way we do business that relate

0:48:59.520 --> 0:49:04.040
<v Speaker 1>back to the foundations of the labor movement here in America.

0:49:04.960 --> 0:49:07.440
<v Speaker 1>So I hope you enjoyed that episode. For those of

0:49:07.440 --> 0:49:09.480
<v Speaker 1>you in the United States, I hope you're having a

0:49:09.920 --> 0:49:14.040
<v Speaker 1>healthy and safe and fun Labor Day. For everyone else,

0:49:14.080 --> 0:49:16.160
<v Speaker 1>I hope you're having a great Monday, you know. I

0:49:16.200 --> 0:49:18.520
<v Speaker 1>hope your day is fantastic too, And I'll talk to

0:49:18.600 --> 0:49:28.800
<v Speaker 1>you again really soon. Tech Stuff is an iHeartRadio production.

0:49:29.080 --> 0:49:34.120
<v Speaker 1>For more podcasts from iHeartRadio, visit the iHeartRadio app, Apple Podcasts,

0:49:34.239 --> 0:49:36.240
<v Speaker 1>or wherever you listen to your favorite shows.