
Stanford professor Chelsea Finn researches hierarchical machine learning models that use chain-of-thought reasoning to help robots break large problems into smaller steps. Finn says translating subtasks into low-level motor commands is incredibly difficult. She believes reliability is the number one area needing improvement before autonomous agents enter important workplace situations.
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Summary by ByteBrief
Nvidia ENPIRE framework lets robots self-improve