CASIA OpenIR
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Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning 期刊论文
BIOMIMETICS, 2024, 卷号: 9, 期号: 1, 页码: 19
作者:  Wang, Yu;  Wang, Jian;  Kang, Song;  Yu, Junzhi
Adobe PDF(1553Kb)  |  收藏  |  浏览/下载:36/1  |  提交时间:2024/03/26
biomimetic motion  biomimetic autonomous system  target following  deep reinforcement learning  predictive control  
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
Adobe PDF(4262Kb)  |  收藏  |  浏览/下载:38/3  |  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  
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
Adobe PDF(1260Kb)  |  收藏  |  浏览/下载:89/0  |  提交时间:2023/11/17
bionic underwater robot  reinforcement learning  robotic fish  intelligent control  
An Underwater Micro Cable-Driven Pan-Tilt Binocular Vision System With Spherical Refraction Calibration 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Qiu, Changlin;  Wu, Zhengxing;  Kong, Shihan;  Yu, Junzhi
Adobe PDF(2362Kb)  |  收藏  |  浏览/下载:164/2  |  提交时间:2021/11/04
Pan-tilt camera  target tracking  underwater measurement  underwater refraction correction  
Design of a Miniature Underwater Angle-of-Attack Sensor and Its Application to a Self-Propelled Robotic Fish 期刊论文
IEEE JOURNAL OF OCEANIC ENGINEERING, 2020, 卷号: 45, 期号: 4, 页码: 1295-1307
作者:  Yu, Junzhi;  Wang, Tianzhu;  Wu, Zhengxing;  Tan, Min
Adobe PDF(2775Kb)  |  收藏  |  浏览/下载:246/34  |  提交时间:2021/01/07
Robot sensing systems  Real-time systems  Propulsion  Magnetomechanical effects  Magnetic analysis  Sea measurements  Angle of attack (AoA)  angle sensor  measurement  robotic fish  underwater  
Reaction-Wheel-Based Roll Stabilization for a Robotic Fish Using Neural Network Sliding Mode Control 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2020, 卷号: 25, 期号: 4, 页码: 1904-1911
作者:  Zhang, Pengfei;  Wu, Zhengxing;  Dong, Huijie;  Tan, Min;  Yu, Junzhi
Adobe PDF(486Kb)  |  收藏  |  浏览/下载:276/36  |  提交时间:2020/09/28
Mobile robots  Wheels  Rotors  Robot sensing systems  Stability analysis  Mechatronics  Neural network feedforward control  reaction wheel  robotic fish  roll stability  sliding mode control  
A Robust Visual Person-Following Approach for Mobile Robots in Disturbing Environments 期刊论文
IEEE SYSTEMS JOURNAL, 2020, 卷号: 14, 期号: 2, 页码: 2965-2968
作者:  Pang, Lei;  Cao, Zhiqiang;  Yu, Junzhi;  Guan, Peiyu;  Chen, Xuechao;  Zhang, Weimin
浏览  |  Adobe PDF(1671Kb)  |  收藏  |  浏览/下载:344/65  |  提交时间:2020/08/03
Mobile robots  Detectors  Cameras  Visualization  Robot vision systems  Kalman filter (KF)  mobile robot  person detector  person-following  reidentification  
Underwater Bioinspired Propulsion: From Inspection to Manipulation 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 9, 页码: 7629-7638
作者:  Wang, Yu;  Wang, Rui;  Wang, Shuo;  Tan, Min;  Yu, Junzhi
浏览  |  Adobe PDF(3768Kb)  |  收藏  |  浏览/下载:362/81  |  提交时间:2020/06/22
Propulsion  Manipulators  Sports  Path planning  Underwater vehicles  Inspection  Bioinspired propulsion  coordinated control  underwater vehicle-manipulator system  underwater manipulation  
Real-time segmentation of various insulators using generative adversarial networks 期刊论文
IET COMPUTER VISION, 2018, 卷号: 12, 期号: 5, 页码: 596-602
作者:  Chang, Wenkai;  Yang, Guodong;  Yu, Junzhi;  Liang, Zize
Adobe PDF(4584Kb)  |  收藏  |  浏览/下载:447/73  |  提交时间:2019/12/16
image segmentation  insulators  neural nets  power engineering computing  real-time pixel-level segmentation  generative adversarial networks  insulator segmentation algorithm  cluttered background  artificial thresholds  compact end-to-end neural network  visual saliency map  proposed two-stage training  segmentation quality