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cs.RO2025
ScaleADFG: Affordance-based Dexterous Functional Grasping via Scalable Dataset
Sizhe Wang, Yifan Yang, Yongkang Luo +8
Dexterous functional tool-use grasping is essential for effective robotic manipulation of tools. However, existing approaches face significant challenges in efficiently constructin…
cs.RO2023
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
Yongkang Luo, Wanyi Li, Peng Wang +3
Dexterous in-hand manipulation for a multi-fingered anthropomorphic hand is extremely difficult because of the high-dimensional state and action spaces, rich contact patterns betwe…
cs.RO2023
Learning Tri-mode Grasping for Ambidextrous Robot Picking
Chenlin Zhou, Peng Wang, Wei Wei +3
Object picking in cluttered scenes is a widely investigated field of robot manipulation, however, ambidextrous robot picking is still an important and challenging issue. We found t…