24 citations · 24 across the 1 of their papers we have counts for
3 papers
cs.RO2020★ 24 cited
Rigid-Soft Interactive Learning for Robust Grasping
Linhan Yang, Fang Wan, Haokun Wang +4
Inspired by widely used soft fingers on grasping, we propose a method of rigid-soft interactive learning, aiming at reducing the time of data collection. In this paper, we classify…
cs.RO2020
Scalable Tactile Sensing for an Omni-adaptive Soft Robot Finger
Zeyi Yang, Sheng Ge, Fang Wan +2
Robotic fingers made of soft material and compliant structures usually lead to superior adaptation when interacting with the unstructured physical environment. In this paper, we pr…
cs.RO2020
Reconfigurable Design for Omni-adaptive Grasp Learning
Fang Wan, Haokun Wang, Jiyuan Wu +3
The engineering design of robotic grippers presents an ample design space for optimization towards robust grasping. In this paper, we adopt the reconfigurable design of the robotic…