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New survey defines 'embodiment gap' in robot foundation models

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New survey defines 'embodiment gap' in robot foundation models

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

  1. arXiv cs.LG TIER_1 English(EN) · Yukiyasu Domae, Keisuke Shirai, Hanbit Oh, Ryoichi Nakajo, Tomohiro Motoda, Koshi Makihara, Masaki Murooka, Takuma Yagi, Yoshiaki Bando, Ryo Hanai ·

    The Embodiment Gap in Robot Foundation Models

    arXiv:2608.18433v1 Announce Type: cross Abstract: Robot foundation models (RFMs), including vision-language-action (VLA) policies, are often discussed through a scaling view: more data, larger models, and broader benchmarks should improve generalization. In robotics, however, a m…

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