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13min chapter
#176 Sergey Levine: Decoding The Evolution of AI in Robotics
Eye On A.I.
Advancements in AI-controlled Robotic Systems
The chapter explores the development of world models for controlling robotic systems, emphasizing on imitation learning, dynamics models, and model-based reinforcement learning. It discusses the impact of diverse data sources on improving robotic performance, highlighting a collaborative project across universities. The evolution towards multi-robot training and the utilization of transformer models like RT1 and RT2 for enhanced control capabilities are also discussed.
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