Xin-Lei Chen

LAMP: Latent Motion Prior-Guided Real-World Learning for Dexterous Hand Manipulation

A latent motion prior module (\prior{}) is introduced that maps recent hand-action histories to a compact, history-conditioned latent prior and decodes continuous latent commands into executable high-dimensional hand targets and improves the policy with online residual RL in the same latent hand-action space.