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João Carvalho

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Preprint Oct 2026

Residual Compliant Policy: Learning Compliant Policies from Few Demonstrations

Laplacian editing is combined with simulation-based trajectory optimization to generalize across object poses, and a residual reinforcement learning policy refines the interaction forces by adjusting the reference pose of the underlying admittance controller.

Chun-Yu Jiang, Yi-Chen Cai, Shuai Li et al. · 0 citations

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