2 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
DexRepNet++: Learning Dexterous Robotic Manipulation with Geometric and Spatial Hand-Object Representations
Qingtao Liu, Zhengnan Sun, Yu Cui +5
Robotic dexterous manipulation is a challenging problem due to high degrees of freedom (DoFs) and complex contacts of multi-fingered robotic hands. Many existing deep reinforcement…
The Developments and Challenges towards Dexterous and Embodied Robotic Manipulation: A Survey
Gaofeng Li, Ruize Wang, Peisen Xu +2
Achieving human-like dexterous robotic manipulation remains a central goal and a pivotal challenge in robotics. The development of Artificial Intelligence (AI) has allowed rapid pr…
Orientation Learning and Adaptation towards Simultaneous Incorporation of Multiple Local Constraints
Gaofeng Li, Peisen Xu, Ruize Wang +4
Orientation learning plays a pivotal role in many tasks. However, the rotation group SO(3) is a Riemannian manifold. As a result, the distortion caused by non-Euclidean geometric n…
Motion planning for highly-dynamic unconditioned reflexes based on chained Signed Distance Functions
Ken Lin, Qi Ye, Tin Lun Lam +3
The unconditioned reflex (e.g., protective reflex), which is the innate reaction of the organism and usually performed through the spinal cord rather than the brain, can enable org…