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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：379/79  |  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  
Discrete soft actor-critic with auto-encoder on vascular robotic system 期刊论文
ROBOTICA, 2022, 页码: 12
作者:  Li, Hao;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Gui, Mei-Jiang;  Xiang, Tian-Yu;  Wang, Jin-Li;  Hou, Zeng-Guang
Adobe PDF(715Kb)  |  收藏  |  浏览/下载：260/4  |  提交时间：2023/01/09
surgical robots  vascular robotic system  automation  reinforcement learning  deep neural network  
Relentless False Data Injection Attacks Against Kalman-Filter-Based Detection in Smart Grid 期刊论文
IEEE Transactions on Control of Network Systems, 2022, 卷号: 9, 期号: 3, 页码: 1238-1250
作者:  Liu, Yifa;  Cheng, Long
Adobe PDF(792Kb)  |  收藏  |  浏览/下载：217/38  |  提交时间：2022/11/14
Attack sequence  false data injection  Kalman filter  smart grid security  state estimation  
A Review of the Methods on Cobb Angle Measurements for Spinal Curvature 期刊论文
SENSORS, 2022, 卷号: 22, 期号: 9, 页码: 19
作者:  Jin, Chen;  Wang, Shengru;  Yang, Guodong;  Li, En;  Liang, Zize
Adobe PDF(4721Kb)  |  收藏  |  浏览/下载：211/4  |  提交时间：2022/07/25
scoliosis  Cobb angle measurement  deep learning  image enhancement  
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：366/70  |  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：385/76  |  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：325/70  |  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  
Learning Accurate and Stable Point-to-Point Motions: A Dynamic System Approach 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1510-1517
作者:  Zhang, Yu;  Cheng, Long;  Li, Houcheng;  Cao, Ran
Adobe PDF(3334Kb)  |  收藏  |  浏览/下载：255/23  |  提交时间：2022/02/16
Point-to-point tasks  neural network  dynamic system  generalization performance  high dimensional data  
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：324/11  |  提交时间：2022/01/27
Biomimetics  biologically-inspired robots  mechanism design  
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：296/43  |  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)