full transcript

From the Ted Talk by Guy Hoffman: Robots with "soul"

Unscramble the Blue Letters

A few years later, I was at my next research job at geogria Tech in altatna, and I was working in a group dealing with robotic musicians. And I thought, music: that's the perfect pclae to look at teamwork, coordination, timing, iopmtrivaison — and we just got this robot playing marimba. And the marimba, for everybody like me, it was this huge, wooden xylophone. And when I was looking at this, I looked at other works in human-robot improvisation — yes, there are other works in human-robot improvisation — and they were also a little bit like a chess game. The huamn would play, the robot analyzed what was played, and would improvise their own part. So, this is what msuinacis called a call-and-response interaction, and it also fits very well robots and artificial intelligence. But I thought, if I use the same ideas I used in the theater play and in the trowmeak studies, maybe I can make the robots jam together like a band. Everybody's riffing off each other, nobody is snitoppg for a moenmt. And so I tried to do the same things, this time with music, where the robot doesn't really know what it's about to play, it just sort of moves its body and uses opportunities to play, and does what my jazz teacher when I was 17 taught me. She said, when you improvise, sometimes you don't know what you're doing, and you still do it. So I tried to make a robot that doesn't actually know what it's doing, but is still doing it. So let's look at a few seconds from this performance, where the robot listens to the human musician and improvises. And then, look how the human musician also responds to what the robot is doing and pcniikg up from its behavior, and at some point can even be surprised by what the robot came up with.

Open Cloze

A few years later, I was at my next research job at _______ Tech in _______, and I was working in a group dealing with robotic musicians. And I thought, music: that's the perfect _____ to look at teamwork, coordination, timing, _____________ — and we just got this robot playing marimba. And the marimba, for everybody like me, it was this huge, wooden xylophone. And when I was looking at this, I looked at other works in human-robot improvisation — yes, there are other works in human-robot improvisation — and they were also a little bit like a chess game. The _____ would play, the robot analyzed what was played, and would improvise their own part. So, this is what _________ called a call-and-response interaction, and it also fits very well robots and artificial intelligence. But I thought, if I use the same ideas I used in the theater play and in the ________ studies, maybe I can make the robots jam together like a band. Everybody's riffing off each other, nobody is ________ for a ______. And so I tried to do the same things, this time with music, where the robot doesn't really know what it's about to play, it just sort of moves its body and uses opportunities to play, and does what my jazz teacher when I was 17 taught me. She said, when you improvise, sometimes you don't know what you're doing, and you still do it. So I tried to make a robot that doesn't actually know what it's doing, but is still doing it. So let's look at a few seconds from this performance, where the robot listens to the human musician and improvises. And then, look how the human musician also responds to what the robot is doing and _______ up from its behavior, and at some point can even be surprised by what the robot came up with.

Solution

  1. teamwork
  2. musicians
  3. georgia
  4. improvisation
  5. human
  6. place
  7. moment
  8. stopping
  9. atlanta
  10. picking

Original Text

A few years later, I was at my next research job at Georgia Tech in Atlanta, and I was working in a group dealing with robotic musicians. And I thought, music: that's the perfect place to look at teamwork, coordination, timing, improvisation — and we just got this robot playing marimba. And the marimba, for everybody like me, it was this huge, wooden xylophone. And when I was looking at this, I looked at other works in human-robot improvisation — yes, there are other works in human-robot improvisation — and they were also a little bit like a chess game. The human would play, the robot analyzed what was played, and would improvise their own part. So, this is what musicians called a call-and-response interaction, and it also fits very well robots and artificial intelligence. But I thought, if I use the same ideas I used in the theater play and in the teamwork studies, maybe I can make the robots jam together like a band. Everybody's riffing off each other, nobody is stopping for a moment. And so I tried to do the same things, this time with music, where the robot doesn't really know what it's about to play, it just sort of moves its body and uses opportunities to play, and does what my jazz teacher when I was 17 taught me. She said, when you improvise, sometimes you don't know what you're doing, and you still do it. So I tried to make a robot that doesn't actually know what it's doing, but is still doing it. So let's look at a few seconds from this performance, where the robot listens to the human musician and improvises. And then, look how the human musician also responds to what the robot is doing and picking up from its behavior, and at some point can even be surprised by what the robot came up with.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
artificial intelligence 4
method acting 3
calculated brain 3
desk lamp 2
robotic desk 2
mechanical structure 2
theater play 2
embodied artificial 2
human musician 2
socially expressive 2
expressive head 2
robotic musician 2
final chord 2
bobbing heads 2

ngrams of length 3

collocation frequency
embodied artificial intelligence 2
socially expressive head 2

Important Words

  1. analyzed
  2. artificial
  3. atlanta
  4. band
  5. behavior
  6. bit
  7. body
  8. called
  9. chess
  10. coordination
  11. dealing
  12. fits
  13. game
  14. georgia
  15. group
  16. huge
  17. human
  18. ideas
  19. improvisation
  20. improvise
  21. improvises
  22. intelligence
  23. interaction
  24. jam
  25. jazz
  26. job
  27. listens
  28. looked
  29. marimba
  30. moment
  31. moves
  32. music
  33. musician
  34. musicians
  35. opportunities
  36. part
  37. perfect
  38. performance
  39. picking
  40. place
  41. play
  42. played
  43. playing
  44. point
  45. research
  46. responds
  47. riffing
  48. robot
  49. robotic
  50. robots
  51. seconds
  52. sort
  53. stopping
  54. studies
  55. surprised
  56. taught
  57. teacher
  58. teamwork
  59. tech
  60. theater
  61. thought
  62. time
  63. timing
  64. wooden
  65. working
  66. works
  67. xylophone
  68. years