Exploring Learning-Based Control Policy for Fish-Like Robots in Altered Background Flows
Xiaozhu Lin,Wenbin Song,Xiaopei Liu,Xuming He,Yang Wang,Xiaozhu Lin,Wenbin Song,Xiaopei Liu,Xuming He,Yang Wang
The study of motion control for the fish-like robots in complex fluid fields is of great importance in improving the performance of underwater vehicles, due to its strong maneuverability, propulsion efficiency, and deceptive visual appearance. In this article, a novel learning-based control framework is first proposed to autonomously explore efficient control policies that are capable of performin...
