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arXiv 2610.26848 · cs.RO · 2026-10-19

Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy

Zekai Li, Jiayi Yu, Jinlu Zhang, Luyang Niu, Zekun Qi, Jun Zheng, Xuchuan Chen, Dairu Liu and 3 more

Galbot

In latest · #378 Added on 2026-10-24

One-line takeaway

Galbot investigates where physical recursive self-improvement comes from, introducing PhysRSI-eval with five axes (first-attempt performance, efficiency, success, budget, improvement from failure), evaluating VLMs on 18 manipulation tasks and proposing a Physical Barrel Hypothesis.

银河通用(Galbot)研究物理世界递归自我改进的来源:提出 PhysRSI-eval,从首次表现、效率、成功、预算、从失败中提升五个维度评测,在 18 个操作任务上比较不同视觉语言模型,并提出“物理木桶假说”。

24HF upvotes
–GitHub stars
0Citations (Semantic Scholar)
33.8Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

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