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cs.RO2026
PhysCaP: Grounding Code-as-Policy Agent with Physics-Informed Exploration
Chen-Yu Lin, Jing-Wen Chen, Hsueh-En Chang +8
We present PhysCaP, a Physics-Informed Code-as-Policy agent system for active perception in robotic manipulation. While vision-language-action policies excel at imitating demonstra…
cs.RO2025
Video Replanning via Latent Embedding Refinement and Rejection-Based Sampling
Po-Chen Ko, Yu Chan, Jiayuan Mao +7
Video planning has emerged as a flexible framework for robot manipulation, in which a generative model predicts a video of task completion, and a downstream module translates the p…