7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.RO2021
A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator
Peijin Li, Gaotian Wang, Hao Jiang +4
It is challenging to control a soft robot, where reinforcement learning methods have been applied with promising results. However, due to the poor sample efficiency, reinforcement…
cs.RO2020★ 7 cited
Design, Control, and Applications of a Soft Robotic Arm
Hao Jiang, Zhanchi Wang, Yusong Jin +5
This paper presents the design, control, and applications of a multi-segment soft robotic arm. In order to design a soft arm with large load capacity, several design principles are…