New survey defines 'embodiment gap' in robot foundation models

A new survey paper published on arXiv introduces the concept of the "embodiment gap" in robot foundation models (RFMs). This gap refers to the difference between a reusable model and its practical deployment on a specific robot. The paper examines how existing methods can be shared across different robot embodiments and highlights the work required for adaptation. It proposes a framework for reporting adaptation efforts, emphasizing that success rate alone does not fully capture the challenges of cross-embodiment learning. AI

IMPACT Highlights challenges in deploying AI models to physical robots, impacting robotics research and development.

RANK_REASON The cluster contains an academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• Hugging Face
• Robot Foundation Models
• robotics
• Vision-Language-Action (VLA) policies
• Yukiyasu Domae

• paper
• other

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