Title | ||
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Learning for Attitude Holding of a Robotic Fish: An End-to-End Approach With Sim-to-Real Transfer |
Abstract | ||
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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 |
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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 Zheng | 1 | 0 | 1.01 |
Tianhao Zhang | 2 | 1 | 1.70 |
Wei Wang | 3 | 32 | 4.22 |
Minglei Xiong | 4 | 0 | 1.69 |
Guangming Xie | 5 | 1276 | 96.56 |