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CASIA OpenIR
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Learning-Based Discontinuous Path Following Control for a Biomimetic Underwater Vehicle 期刊论文
RESEARCH, 2024, 卷号: 7, 页码: 11
作者:  Wang, Yu;  Chu, Hongfei;  Ma, Ruichen;  Bai, Xuejian;  Cheng, Long;  Wang, Shuo;  Tan, Min
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/30
Sample-Observed Soft Actor-Critic Learning for Path Following of a Biomimetic Underwater Vehicle 期刊论文
IEEE Transactions on Automation Science and Engineering, 2023, 页码: 1-10
作者:  Ma, Ruichen;  Wang, Yu;  Wang, Shuo;  Cheng, Long;  Wang, Rui;  Tan, Ming
Adobe PDF(2902Kb)  |  收藏  |  浏览/下载：183/59  |  提交时间：2023/08/03
Disturbance Observer Based Control for an Underwater Biomimetic Vehicle-Manipulator System with Mismatched Disturbances 会议论文
, Suzhou, China, 2021.5.14-2021.5.16
作者:  Lv, Jiaqi;  Wang, Yu;  Wang, Shuo;  Cheng, Long;  Tan, Min
Adobe PDF(1182Kb)  |  收藏  |  浏览/下载：98/34  |  提交时间：2023/06/25
Underwater biomimetic vehicle-manipulator system (UBVMS)  disturbance observer  arctangent non-singularity sliding mode controller (ANTSMC)  mismatched disturbances  
Autonomous Skill Learning of Water Polo Ball Heading for a Robotic Fish: Curriculum and Verification 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2023, 卷号: 15, 期号: 2, 页码: 865 - 876
作者:  Zhang Tiandong;  Wang Rui;  Wang Shuo;  Wang Yu;  Cheng Long;  Zheng Gang;  Tan Min
Adobe PDF(3052Kb)  |  收藏  |  浏览/下载：124/41  |  提交时间：2023/06/14
Development and Motion Control of Biomimetic Underwater Robots: A Survey 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 2, 页码: 833-844
作者:  Wang, Rui;  Wang, Shuo;  Wang, Yu;  Cheng, Long;  Tan, Min
收藏  |  浏览/下载：209/0  |  提交时间：2022/06/06
Unmanned underwater vehicles  Robots  Propulsion  Motion control  Prototypes  Turning  Biomimetic underwater robots  motion control  system development  undulatory propulsion  
Development and Stiffness Optimization for a Flexible-Tail Robotic Fish 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 834-841
作者:  Lu, Ben;  Zhou, Chao;  Wang, Jian;  Fu, Yuzhuo;  Cheng, Long;  Tan, Min
Adobe PDF(2476Kb)  |  收藏  |  浏览/下载：289/1  |  提交时间：2022/01/27
Biomimetics  biologically-inspired robots  mechanism design  
Design and Locomotion Control of a Dactylopteridae-Inspired Biomimetic Underwater Vehicle With Hybrid Propulsion 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 13
作者:  Zhang, Tiandong;  Wang, Rui;  Wang, Yu;  Cheng, Long;  Wang, Shuo;  Tan, Min
Adobe PDF(4770Kb)  |  收藏  |  浏览/下载：263/45  |  提交时间：2022/01/27
Propulsion  DC motors  Robots  Control systems  Servomotors  Underwater vehicles  Sports  Biomimetic underwater vehicle (BUV)  body andor caudal fin (BCF)  median and or paired fin (MPF) hybrid propulsion  central pattern generators (CPGs)  fuzzy proportion integral differential (PID)  
Target Tracking Control of a Biomimetic Underwater Vehicle Through Deep Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Wang, Yu;  Tang, Chong;  Wang, Shuo;  Cheng, Long;  Wang, Rui;  Tan, Min;  Hou, Zengguang
收藏  |  浏览/下载：217/0  |  提交时间：2022/01/27
Reinforcement learning  Target tracking  Robots  Sports  Aerospace electronics  Mobile robots  Underwater vehicles  Biomimetic underwater vehicle (BUV)  reinforcement learning  target tracking control  
Data-Driven Hydrodynamic Modeling for a Flippers-Driven Underwater Vehicle-Manipulator System 会议论文
, Liuzhou, China, 20-22 Nov. 2020
作者:  Wang Y(王宇);  Bai XJ(白雪剑);  Cheng L(程龙);  Wang S(王硕);  Tan M(谭民)
Adobe PDF(6505Kb)  |  收藏  |  浏览/下载：168/38  |  提交时间：2022/01/06
Data driven modeling  underwater vehicle-manipulator system  underwater biomimetic vehicle  hydrodynamic modeling  
Real-Time Underwater Onboard Vision Sensing System for Robotic Gripping 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 11
作者:  Wang, Yu;  Tang, Chong;  Cai, Mingxue;  Yin, Jiye;  Wang, Shuo;  Cheng, Long;  Wang, Rui;  Tan, Min
收藏  |  浏览/下载：256/0  |  提交时间：2021/03/08
Real-time underwater vision sensing system  underwater object detection  underwater robotic gripping  underwater robots