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Simultaneously Calibration of Multi Hand-Eye Robot System Based on Graph 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 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：27/0  |  提交时间：2024/03/26
Calibration  error correction  graph theory  multirobot systems  robot vision systems.  
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载：45/1  |  提交时间：2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
Adobe PDF(2164Kb)  |  收藏  |  浏览/下载：63/0  |  提交时间：2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
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：72/0  |  提交时间：2024/02/20
Calibration  error correction  graph theory  multirobot systems  robot vision systems  
Model Predictive Trajectory Tracking Control of an Underactuated Bionic Underwater Vehicle 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Wang, Yu;  Su, Hu
Adobe PDF(4065Kb)  |  收藏  |  浏览/下载：95/3  |  提交时间：2023/11/16
Bionic underwater vehicle (BUV)  model predictive control (MPC)  trajectory tracking  undulatory propulsion  
Real-Time Digital Video Stabilization of Bioinspired Robotic Fish Using Estimation-and-Prediction Framework 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 页码: 12
作者:  Meng, Yan;  Wu, Zhengxing;  Zhang, Pengfei;  Wang, Jian;  Yu, Junzhi
Adobe PDF(3860Kb)  |  收藏  |  浏览/下载：339/66  |  提交时间：2022/06/06
Bioinspired robot  digital video stabilization  estimation-and-prediction framework  robotic fish  vision system  
Performance Improvement of a High-Speed Swimming Robot for Fish-Like Leaping 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1936-1943
作者:  Chen, Di;  Wu, Zhengxing;  Zhang, Pengfei;  Tan, Min;  Yu, Junzhi
Adobe PDF(2838Kb)  |  收藏  |  浏览/下载：352/68  |  提交时间：2022/06/06
Biologically-inspired robots  mechanism design  compliant joints and mechanisms  high-speed swimming  fish-like leaping motion  
Development of a High-Speed Swimming Robot With the Capability of Fish-Like Leaping 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 页码: 11
作者:  Chen, Di;  Wu, Zhengxing;  Meng, Yan;  Tan, Min;  Yu, Junzhi
Adobe PDF(3155Kb)  |  收藏  |  浏览/下载：296/64  |  提交时间：2022/02/16
Robots  Oscillators  Sports  Propulsion  Springs  Shafts  Mechatronics  Bioinspired robotic fish  compliant joint  dynamic modeling  high-frequency propulsion  high swimming performance  
Distributed Dynamic Event-Triggered Control for Euler-Lagrange Multiagent Systems With Parametric Uncertainties 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Cao, Ran;  Cheng, Long
Adobe PDF(1843Kb)  |  收藏  |  浏览/下载：266/36  |  提交时间：2022/01/27
Vehicle dynamics  Nonlinear dynamical systems  Symmetric matrices  Laplace equations  Heuristic algorithms  Directed graphs  Robot sensing systems  Consensus  containment  dynamic event-triggered control  Euler-Lagrange system  multiagent systems (MASs)  
Learning to Assemble Noncylindrical Parts Using Trajectory Learning and Force Tracking 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 页码: 12
作者:  Su, Jianhua;  Meng, Yan;  Wang, Lili;  Yang, Xu
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：327/54  |  提交时间：2022/01/27
Force  Trajectory  Robots  Task analysis  Hidden Markov models  Impedance  Training  Assembly skill  impedance control  learning from demonstration  movement primitives (MPs)