24 citations · 54 across the 3 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★ 14 cited
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★ 16 cited
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…