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Gemini Robotics 2 brings whole body intelligence to robots — Transcript

by Google DeepMind · 489 words · 84 segments · language en · Watch on YouTube

Full transcript

  1. 0:00How are you today, Apollo?
  2. 0:01>> I'm a little nervous. Is that a
  3. 0:02microphone?
  4. 0:10>> [music]
  5. 0:15[music]
  6. 0:16>> For the robot, dealing with challenges
  7. 0:18of the actual physical world is
  8. 0:20borderline impossible.
  9. 0:23>> [music]
  10. 0:23>> But for us humans, it comes so naturally
  11. 0:26and so intuitively that we almost don't
  12. 0:28even think of it as intelligence.
  13. 0:33>> You probably have seen all these amazing
  14. 0:35videos of specialized humanoid robots
  15. 0:37running, [music] jumping, backflipping.
  16. 0:39The key difference in Gemini Robotics 2
  17. 0:42>> [music]
  18. 0:42>> is we aim to build a generalist robotics
  19. 0:45model that's going to add a lot more
  20. 0:46value if one robot can do a lot of
  21. 0:49different tasks.
  22. 0:50>> AI models offer [music] a way to
  23. 0:53navigate the messy complexity of our
  24. 0:57human environment.
  25. 0:58>> The way to think about it is the brain
  26. 1:00Gemini Robotics is what controls the
  27. 1:03whole body of [music] the humanoid, the
  28. 1:05delicate movements of the sharp hand and
  29. 1:07the grippers of the dual.
  30. 1:09>> We focus on three main things for this
  31. 1:11release. [music] The first one is whole
  32. 1:13body control. We are very used to move
  33. 1:16our body in a very coordinated [music]
  34. 1:17manner, but it's not true for robots.
  35. 1:20Even though this feels a very simple
  36. 1:22task for us, but for robots, I need to
  37. 1:24make a many, many decisions across
  38. 1:25[music] the entire body to achieve this.
  39. 1:28The second thing is about dexterous
  40. 1:30hands and particular [music]
  41. 1:32manipulations of objects way beyond just
  42. 1:34pick and place.
  43. 1:36>> As a field, we're humbled
  44. 1:38>> [music]
  45. 1:38>> by things like screwing a light bulb
  46. 1:40where you're interacting with smaller
  47. 1:43objects, and those are really hard
  48. 1:45problems [music]
  49. 1:46that we are trying to solve.
  50. 1:49>> When we first [music] came up with the
  51. 1:51trash bag task in particular, several
  52. 1:53people did think it was impossible. You
  53. 1:55don't think about how to drive separate
  54. 1:57[music] joints when you operate your
  55. 1:59hand, but that's what we're asking these
  56. 2:01AI models to do.
  57. 2:03>> And for a thing [music] is being Gemini
  58. 2:04Robotics too, we add a feature that
  59. 2:07enables multiple robots to collaborate
  60. 2:09[music] to accomplish the same task
  61. 2:11simultaneously.
  62. 2:12>> Hey duo, get all tools in the bin, close
  63. 2:15the kit, and put the [music] kit back
  64. 2:17into the bin.
  65. 2:18>> On it.
  66. 2:19>> Each of these two robots is running that
  67. 2:21same stack, [music] and so rather than
  68. 2:22having one robot network that controls
  69. 2:24both robots, they have their own copy,
  70. 2:25and they're [music] each doing their own
  71. 2:26individual thinking, and they're
  72. 2:28actually orchestrating through
  73. 2:29reasoning.
  74. 2:30>> Awesome precision, duo. Keep going.
  75. 2:33>> We're really after intelligence and
  76. 2:35generality. Being able to react to the
  77. 2:37scene changing, [music] that is where
  78. 2:39the intelligence comes in.
  79. 2:42>> I'm super excited about robotics. I
  80. 2:44think uh it's moving really fast, and
  81. 2:47[music] AI is really the missing piece
  82. 2:49of the entire robotics puzzle.
  83. 2:54>> It is quite exciting to be in the
  84. 2:55spotlight.

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