Title
Learning for Attitude Holding of a Robotic Fish: An End-to-End Approach With Sim-to-Real Transfer
Abstract
Controlling biomimetic underwater robots in unknown flow fields remains a challenge due to the strong nonlinearity of the fluid. This article investigates the attitude holding task of a robotic fish swimming in reality. Such a typical sensing-based control task requires the fish to keep a desired angle of attack in an unknown and even varied incoming flow. To this end, we propose a learning-based ...
Year
DOI
Venue
2022
10.1109/TRO.2021.3098239
IEEE Transactions on Robotics
Keywords
DocType
Volume
Robots,Robot sensing systems,Task analysis,Data models,Robot kinematics,Attitude control,Pressure sensors
Journal
38
Issue
ISSN
Citations 
2
1552-3098
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Junzheng Zheng101.01
Tianhao Zhang211.70
Wei Wang3324.22
Minglei Xiong401.69
Guangming Xie5127696.56