Training Dynamic Motion Primitives using Deep Reinforcement Learning to Control a Robotic Tadpole
Imran Hameed,Xu Chao,David Navarro-Alarcon,Xingjian Jing,Imran Hameed,Xu Chao,David Navarro-Alarcon,Xingjian Jing
Developing a good control strategy for biomimetic robots is challenging. Robust control methods require an accurate model of the robot. Nowadays, model-free methods are being extensively explored for the control and navigation of terrestrial robots. In this paper, we consider a novel deep reinforcement learning-based model-free swimming control for our bio-inspired robotic tadpole. To realize this...
