The chapter discusses the challenges of training robots through observation only, covering implicit system identification, zero-shotting to new robots, and fine-tuning generalist models for specific tasks. It also highlights the release of RTX and its impact on multi-robot cross embodiment research, showcasing projects like Octo from Berkeley and the RT trajectory paper's advancements in on-the-fly examples and promptable robot behavior adjustments.

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