The chapter discusses the use of Visual Object Models (VOM) as a frozen critic for directing motion in robotics tasks, highlighting the need for visual annotations. It challenges the belief that detailed robotics concepts only come from specific robotics data and explores the potential of leveraging pre-trained language models for improved optimization in robotics. The conversation also touches on the future of robotics research, emphasizing the quest for embodied AGI and the challenges in commercializing robotics for broader applications.

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