Think about having a robotic that might aid you clear up after a celebration — or fold heaps of laundry. Chengshu Eric Li and Josiah David Wong, two Stanford College Ph.D. college students suggested by famend American pc scientist Professor Fei-Fei Li, are making {that a} dream come true. On this episode of the AI Podcast, host Noah Kravitz spoke with the 2 about their venture, BEHAVIOR-1K, which goals to allow robots to carry out 1,000 family chores, together with choosing up fallen objects or cooking. To coach the robots, they’re utilizing the NVIDIA Omniverse platform, in addition to reinforcement and imitation studying methods. Hear to listen to extra in regards to the breakthroughs and challenges Li and Wong skilled alongside the best way.
Keep tuned for extra AI Podcast episodes recorded dwell from GTC.
Time Stamps
3:33: Background on the BEHAVIOR-1K venture
5:00: Why use a simulated atmosphere to coach robots?
6:48: Why construct a brand new simulation engine as an alternative of utilizing an present one?
10:48: The method of coaching the robots to carry out family chores
14:04: A few of the most advanced duties taught to the robots
19:07: How are giant language fashions and huge imaginative and prescient fashions affecting the progress of robotics?
24:09: What’s subsequent for the venture?
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