24 citations · 29 across the 8 of their papers we have counts for
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cs.RO2020★ 1 cited
Design of an Optoelectronically Innervated Gripper for Rigid-Soft Interactive Grasping
Linhan Yang, Xudong Han, Weijie Guo +4
Over the past few decades, efforts have been made towards robust robotic grasping, and therefore dexterous manipulation. The soft gripper has shown their potential in robust graspi…
cs.RO2020
DeepClaw: A Robotic Hardware Benchmarking Platform for Learning Object Manipulation
Fang Wan, Haokun Wang, Xiaobo Liu +2
We present DeepClaw as a reconfigurable benchmark of robotic hardware and task hierarchy for robot learning. The DeepClaw benchmark aims at a mechatronics perspective of the robot…
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…