3 papers
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.RO2025
UniFucGrasp: Human-Hand-Inspired Unified Functional Grasp Annotation Strategy and Dataset for Diverse Dexterous Hands
Haoran Lin, Wenrui Chen, Xianchi Chen +7
Dexterous grasp datasets are vital for embodied intelligence, but mostly emphasize grasp stability, ignoring functional grasps needed for tasks like opening bottle caps or holding…
cs.CV2025
One-Shot Affordance Grounding of Deformable Objects in Egocentric Organizing Scenes
Wanjun Jia, Fan Yang, Mengfei Duan +6
Deformable object manipulation in robotics presents significant challenges due to uncertainties in component properties, diverse configurations, visual interference, and ambiguous…