CASIA OpenIR
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A Collision-Free Planning and Control Framework for a Biomimetic Underwater Vehicle in Dynamic Environments 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 卷号: 28, 期号: 3, 页码: 1415 - 1424
作者:  Lv, Jiaqi;  Wang, Yu;  Wang, Shuo;  Bai, Xuejian;  Wang, Rui;  Tan, Min
Adobe PDF(3810Kb)  |  收藏  |  浏览/下载:335/68  |  提交时间:2023/02/22
Arctangent nonsingularity terminal sliding mode (ANTSM) control  biomimetic underwater vehicle (BUV)  collision-free in dynamic environments  fuzzy artificial potential field (FAPF) planning  robots  
Autonomous Manipulation of an Underwater Vehicle-Manipulator System by a Composite Control Scheme With Disturbance Estimation 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Tan, Min
收藏  |  浏览/下载:107/0  |  提交时间:2023/03/20
Predictive models  Vehicle dynamics  Optimal control  Load modeling  Uncertainty  Solid modeling  Predictive control  Underwater vehicle-manipulator system (UVMS)  disturbance observer (DOB)  nonlinear model predictive control (NMPC)  autonomous underwater manipulation  
Self-Supervised Contact Geometry Learning by GelStereo Visuotactile Sensing 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 9
作者:  Cui, Shaowei;  Wang, Rui;  Hu, Jingyi;  Zhang, Chaofan;  Chen, Lipeng;  Wang, Shuo
Adobe PDF(1925Kb)  |  收藏  |  浏览/下载:569/297  |  提交时间:2022/06/06
Geometry  Sensors  Three-dimensional displays  Estimation  Image reconstruction  Tactile sensors  Color  Depth estimation  robotic sensing systems  self-supervised learning  tactile sensors  
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:255/43  |  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)  
Real-Sim-Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 16
作者:  Liu, Naijun;  Cai, Yinghao;  Lu, Tao;  Wang, Rui;  Wang, Shuo
Adobe PDF(6287Kb)  |  收藏  |  浏览/下载:257/62  |  提交时间:2020/06/02
robot  policy learning  reality gap  simulated environment  deep reinforcement learning