Towards Adaptive Continuous Control of Soft Robotic Manipulator using Reinforcement Learning
Yingqi Li,Xiaomei Wang,Ka-Wai Kwok,Yingqi Li,Xiaomei Wang,Ka-Wai Kwok
Although the soft robot is gaining considerable popularity in dexterous and safe manipulation, accurate motion control is still an open problem to be explored. Recent investigations suggest that reinforcement learning (RL) is a promising solution but lacks efficient adaptability for Sim2Real transfer or environment variations. In this paper, we present a deep deterministic policy gradient (DDPG)-b...
