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My job is to design, build and study
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robots that communicate with people.
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But this story doesn't start with robotics at all,
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it starts with animation.
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When I first saw Pixar's "Luxo Jr.,"
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I was amazed by how much emotion
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they could put into something
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as trivial as a desk lamp.
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I mean, look at them -- at the end of this movie,
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you actually feel something for two pieces of furniture.
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(Laughter)
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And I said, I have to learn how to do this.
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So I made a really bad career decision.
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And that's what my mom was like when I did it.
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(Laughter)
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I left a very cozy tech job in Israel
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at a nice software company and I moved to New York
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to study animation.
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And there I lived
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in a collapsing apartment building
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I'm not using this phrase metaphorically,
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the ceiling actually collapsed one day
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in our living room.
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Whenever they did those news stories
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they would put the report in front of our building.
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As kind of like a backdrop
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Anyway, during the day I went to school and at night
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I would sit and draw frame by frame
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And I learned two surprising lessons --
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one of them was that
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when you want to arouse emotions,
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it doesn't matter so much how something looks,
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it's all in the motion -- it's in the timing
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of how the thing moves.
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And the second, was something
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He actually did the weasel in Ice Age.
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And he said:
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"As an animator you are not
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So, if you want to find the
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don't think about it, go use your body to find it --
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stand in front of a mirror, act it out
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in front of a camera -- whatever you need.
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And then put it back in your character.
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A year later I found myself at MIT
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in the robotic life group, it was one of the first groups
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researching the relationships
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And I still had this dream to make
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an actual, physical Luxo Jr. lamp.
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But I found that robots didn't move at all
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in this engaging way that I was used to
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for my animation studies.
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Instead, they were all --
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how should I put it, they were all kind of robotic.
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(Laughter)
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And I thought, what if I took whatever
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and used that to design my robotic desk lamp.
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So I went and designed frame by frame
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to try to make this robot
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as graceful and engaging as possible.
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And here when you see the robot interacting with me
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on a desktop.
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And I'm actually redesigning the robot so,
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unbeknownst to itself,
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it's kind of digging its own grave by helping me.
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(Laughter)
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I wanted it to be less of a mechanical structure
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giving me light,
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and more of a helpful, kind of quiet apprentice
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that's always there when you need
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And when, for example, I'm looking for a battery
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that I can't find,
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in a subtle way, it will show me where the battery is.
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So you can see my confusion here.
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I'm not an actor.
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And I want you to notice how the same
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mechanical structure can at one point,
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just by the way it moves seem gentle and caring --
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and in the other case, seem
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And it's the same structure,
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Actor: "You want to know something?
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He was already dead!
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Just laying there, eyes glazed over!"
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(Laughter)
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But, moving in graceful ways is just one
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called human-robot interaction.
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I was at the time doing my Ph.D.,
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I was working on human robot teamwork;
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teams of humans and robots working together.
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I was studying the engineering,
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the psychology, the philosophy of teamwork.
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And at the same time I found myself
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in my own kind of teamwork situation
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with a good friend of mine who is actually here.
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And in that situation we can easily imagine robots
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in the near future being there with us.
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It was after a Passover seder.
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We were folding up a lot of folding chairs,
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and I was amazed at how quickly
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Everybody did their own part.
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We didn't have to divide our tasks.
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We didn't have to communicate verbally about this.
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It all just happened.
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And I thought,
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humans and robots don't look at all like this.
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When humans and robots interact,
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it's much more like a chess game.
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The human does a thing,
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the robot analyzes whatever the human did,
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then the robot decides what to do next,
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plans it and does it.
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And then the human waits, until it's their turn again.
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So, it's much more like a chess game
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and that makes sense because chess is great
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for mathematicians and computer scientists.
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It's all about information analysis,
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decision making and planning.
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But I wanted my robot to be less of a chess player,
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and more like a doer
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that just clicks and works together.
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So I made my second horrible career choice:
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I decided to study acting for a semester.
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I took off from a Ph.D. I went to acting classes.
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I actually participated in a play,
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I hope theres no video of that around still.
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And I got every book I could find about acting,
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including one from the 19th century
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that I got from the library.
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And I was really amazed because my
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the previous name was in 1889. (Laughter)
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And this book was kind of waiting for 100 years
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to be rediscovered for robotics.
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And this book shows actors
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how to move every muscle in the body
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to match every kind of emotion
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But the real revelation was
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when I learned about method acting.
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It became very popular in the 20th century.
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And method acting said, you don't have
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Instead you have to use your body
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You have to use your sense memory
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to reconstruct the emotions and kind of
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think with your body to find the right expression.
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Improvise, play off yor scene partner.
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And this came at the same time
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in cognitive psychology called embodied cognition.
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Which also talks about the same ideas --
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We use our bodies to think,
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we don't just think with our brains
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but our bodies feed back into our brain
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to generate the way that we behave.
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And it was like a lightning bolt.
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I went back to my office.
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I wrote this paper -- which I never really published
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called "Acting Lessons for Artificial Intelligence."
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And I even took another month
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to do what was then the first theater play
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with a human and a robot acting together.
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That's what you saw before with the actors.
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And I thought:
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How can we make an artificial intelligence model --
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computer, computational model --
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that will model some of these ideas of improvisation,
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of taking risks, of taking chances,
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even of making mistakes.
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Maybe it can make for better robotic teammates.
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So I worked for quite a long time on these models
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and I implemented them on a number of robots.
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Here you can see a very early example
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with the robots trying to use this
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to try to match my movements
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sort of like a game.
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Let's look at it.
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You can see when I psych it out, it gets fooled.
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And it's a little bit like what you might see actors do
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when they try to mirror each other
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to find the right synchrony between them.
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And then, I did another experiment,
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and I got people off the street
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and try out this idea of embodied
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So, I actually used two kinds
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The robot is the same lamp that you saw,
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and I put in it two brains.
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For one half of the people,
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I put in a brain that's kind of the traditional,
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calculated robotic brain.
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It waits for its turn, it analyzes everything, it plans.
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Let's call it the calculated brain.
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The other got more the stage actor, risk taker brain.
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Let's call it the adventurous brain.
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It sometimes acts without knowing
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It sometimes makes mistakes and corrects them.
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And I had them do this very tedious task
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that took almost 20 minutes
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and they had to work together.
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Somehow simulating like a factory job
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of repetitively doing the same thing.
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And what I found was that people actually loved
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the adventurous robot.
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And they thought it was more intelligent,
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more committed, a better member of the team,
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contributed to the success of the team more.
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They even called it 'he' and 'she,'
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whereas people with the calculated brain called it 'it.'
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And nobody ever called it 'he' or 'she'.
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When they talked about it after the task
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with the adventurous brain,
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they said, "By the end, we were good
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Whatever that means.
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(Laughter) Sounds painful.
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Whereas the people with the calculated brain
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said it was just like a lazy apprentice.
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It only did what it was supposed
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Which is almost what people expect robots to do,
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so I was surprised that people
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of robots, than what anybody in robotics
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And in a way, I thought, maybe it's time --
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just like method acting changed the way
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people thought about acting in the 19th century,
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from going from the very calculated,
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planned way of behaving,
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to a more intuitive, risk-taking,
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Maybe it's time for robots
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to have the same kind of revolution.
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A few years later,
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I was at my next research job
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and I was working in a group
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dealing with robotic musicians.
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And I thought, music, that's the perfect place
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to look at teamwork, coordination,
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timing, improvisation --
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and we just got this robot playing marimba.
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Marimba, for everybody who was like me,
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it was this huge, wooden xylophone.
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And, when I was looking at this,
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I looked at other works in
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yes, there are other works in
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and they were also a little bit like a chess game.
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The human would play,
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the robot would analyze what was played,
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would improvise their own part.
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So, this is what musicians called
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a call and response interaction,
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and it also fits very well, robots
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But I thought, if I use the same ideas I used
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in the theater play and in the teamwork studies,
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maybe I can make the robots jam together
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like a band.
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Everybody's riffing off each other,
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And so, I tried to do the same
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where the robot doesn't really know
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what it's about to play.
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It just sort of moves its body
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and uses opportunities to play,
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And does what