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MorphAct: Robot Policies Morphing with the Worlds They Act In

Ziyan Liu, Jiting Liu, Weihong Zhong, Wenda Yu, Yeqiu Chen, Jason Li, Xiaojiang Peng, Shuyuan Hu, Kai Wang, Bo Zhao
From the abstract

Progress toward general intelligence in the physical world requires scaling robot learning across diverse environments and interactions. However, existing robot policies use shared parameters that remain fixed across interaction contexts.

From the abstract. Our summary is in progress.

The full text is not republished here because the paper's license does not allow it. Read the original on arXiv.