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CASIA OpenIR
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Simultaneously Calibration of Multi HandEye Robot System Based on Graph 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 卷号: 71, 期号: 5, 页码: 5010-5020
作者:  Zhou, Zishun;  Ma, Liping;  Liu, Xilong;  Cao, Zhiqiang;  Yu, Junzhi
收藏  |  浏览/下载：45/0  |  提交时间：2024/02/20
Calibration  error correction  graph theory  multirobot systems  robot vision systems  
Integrated Tracking Control of an Underwater Bionic Robot Based on Multimodal Motions 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 卷号: 54, 期号: 3, 页码: 1599-1610
作者:  Wang, Jian;  Wu, Zhengxing;  Zhang, Yang;  Kong, Shihan;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载：12/0  |  提交时间：2024/03/27
Disturbance observer (DOB)  fuzzy system  model predictive control (MPC)  tracking control  underwater bionic robot  
Autonomous Recovery Control of Biomimetic Robotic Fish Based on Multi-Sensory System 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 2, 页码: 1420-1427
作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载：9/0  |  提交时间：2024/03/26
Robots  Wires  Tail  Robot sensing systems  Task analysis  Springs  Sensors  Autonomous recovery  motion control  robotic fish  underwater perception  
Autogeneration of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator 期刊论文
IEEE TRANSACTIONS ON ROBOTICS, 2024, 卷号: 40, 页码: 903-918
作者:  Pan, Jie;  Li, Dongyue;  Wang, Jian;  Zhang, Pengfei;  Shao, Jinyan;  Yu, Junzhi
收藏  |  浏览/下载：35/0  |  提交时间：2024/02/21
Bayesian optimization (BO)  control-oriented model identification  Koopman operator  robot control  
Dual-Type Marker Fusion-Based Underwater Visual Localization for Autonomous Docking 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 11
作者:  Zhao, Chunyang;  Dong, Huijie;  Wang, Jian;  Qiao, Tiezhu;  Yu, Junzhi;  Ren, Jieyu
收藏  |  浏览/下载：10/0  |  提交时间：2024/03/26
Autonomous docking  dual-type marker fusion  underwater robot  visual localization  
Tight-Space Maneuvering of a Hybrid-Driven Robotic Fish Using Backstepping-Based Adaptive Control 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 13
作者:  Li, Sijie;  Wu, Zhengxing;  Dai, Shijie;  Wang, Jian;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载：47/0  |  提交时间：2024/02/22
Robots  Propellers  Robot kinematics  Robot sensing systems  Propulsion  Mechatronics  Hydrodynamics  3-D path following  backstepping-based adaptive control  depth control  hybrid drive  robotic fish  
Multiagent-Reinforcement-Learning-Based Stable Path Tracking Control for a Bionic Robotic Fish With Reaction Wheel 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 12, 页码: 12670-12679
作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载：97/0  |  提交时间：2023/11/17
Multiagent reinforcement learning (MARL)  path tracking control  reaction wheel  robotic fish  underwater robot  
An Underwater Robotic System With a Soft Continuum Manipulator for Autonomous Aquatic Grasping 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Liu, Jiaqi;  Song, Zhuheng;  Lu, Yue;  Yang, Hui;  Chen, Xingyu;  Duo, Youning;  Chen, Bohan;  Kong, Shihan;  Shao, Zhuyin;  Gong, Zheyuan;  Wang, Shiqiang;  Ding, Xilun;  Yu, Junzhi;  Wen, Li
收藏  |  浏览/下载：77/0  |  提交时间：2023/12/21
Grasping  Robots  Soft robotics  Manipulator dynamics  Task analysis  Robot kinematics  Biology  Machine learning  soft robotics  underwater grasping  
Locating Dipole Source Using Self-Propelled Robotic Fish With Artificial Lateral Line System 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载：60/0  |  提交时间：2023/11/16
Underwater robot  robotic fish  artificial lateral line  noise estimation  dipole source localization  
A Survey on Reinforcement Learning Methods in Bionic Underwater Robots 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 2, 页码: 29
作者:  Tong, Ru;  Feng, Yukai;  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载：59/0  |  提交时间：2023/11/17
bionic underwater robot  reinforcement learning  robotic fish  intelligent control