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cs.RO2026
EgoWild2Dex: Learning Dexterous Robotic Manipulation from In-the-Wild Human Experience
Kunyang Lin, Xutao Wen, Jingxi Lin +8
Egocentric human data provide a principled source of supervision for learning dexterous robot manipulation. Unlike prior approaches that often collect such data in constrained or s…
cs.RO2026
RISE: Self-Improving Robot Policy with Compositional World Model
Jiazhi Yang, Kunyang Lin, Jinwei Li +10
Despite the sustained scaling on model capacity and data acquisition, Vision-Language-Action (VLA) models remain brittle in contact-rich and dynamic manipulation tasks, where minor…