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Six-Dimensional Target Pose Estimation for Robot Autonomous Manipulation: Methodology and Verification 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 1, 页码: 186-197
作者:  Wang, Rui;  Su, Congjia;  Yu, Hao;  Wang, Shuo
收藏  |  浏览/下载：30/0  |  提交时间：2023/11/17
Autonomous manipulation  robot  semantic seg-mentation  target pose estimation  
A neural network based framework for variable impedance skills learning from demonstrations 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2023, 卷号: 160, 页码: 10
作者:  Zhang, Yu;  Cheng, Long;  Cao, Ran;  Li, Houcheng;  Yang, Chenguang
Adobe PDF(3824Kb)  |  收藏  |  浏览/下载：329/62  |  提交时间：2023/02/22
Variable impedance skill  Learning from demonstrations  Skills learning  Human-robot interaction  
Neural Control of Robot Manipulators With Trajectory Tracking Constraints and Input Saturation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4231-4242
作者:  Yang, Chenguang;  Huang, Dianye;  He, Wei;  Cheng, Long
收藏  |  浏览/下载：243/0  |  提交时间：2021/11/03
Manipulators  Lyapunov methods  Robot kinematics  Trajectory tracking  Automation  Barrier Lyapunov function (BLF)  constrained control  input saturation  robot manipulator  
Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 3282-3292
作者:  Yang, Chenguang;  Peng, Guangzhu;  Cheng, Long;  Na, Jing;  Li, Zhijun
收藏  |  浏览/下载：258/0  |  提交时间：2021/05/31
Robot sensing systems  Force  Robot kinematics  Artificial neural networks  Admittance  Torque  Admittance control  error transformation  force observer  Kinect  neural adaptive control  neural networks (NNs)  robot  
Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 1, 页码: 209-218
作者:  Huang, Dianye;  Yang, Chenguang;  Pan, Yongping;  Cheng, Long
收藏  |  浏览/下载：190/0  |  提交时间：2021/01/06
Manipulator dynamics  Uncertainty  Informatics  Service robots  Lyapunov methods  Barrier Lyapunov function (BLF)  composite learning (CL)  output error constraints  radial basis function neural network  robot manipulators  
Composite Learning Enhanced Robot Impedance Control 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 1052-1059
作者:  Sun, Tairen;  Peng, Liang;  Cheng, Long;  Hou, Zeng-Guang;  Pan, Yongping
收藏  |  浏览/下载：255/0  |  提交时间：2020/06/02
Impedance  Convergence  Robots  Stability criteria  Uncertainty  Parameter estimation  Adaptive control  composite adaptation  impedance control  learning control  parameter convergence  robot  
Grasping Marine Products With Hybrid-Driven Underwater Vehicle-Manipulator System 期刊论文
IEEE Transactions on Automation Science and Engineering, 2020, 卷号: 17, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Ren, Yong;  Tan, Min
浏览  |  Adobe PDF(5519Kb)  |  收藏  |  浏览/下载：332/108  |  提交时间：2020/05/07
Hybrid-driven Underwater Vehicle-manipulator System (Hd-uvms)  Robot Control System  Underwater Manipulation  
Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot-Environment Interaction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 7, 页码: 2568-2579
作者:  Yang, Chenguang;  Peng, Guangzhu;  Li, Yanan;  Cui, Rongxin;  Cheng, Long;  Li, Zhijun
收藏  |  浏览/下载：290/0  |  提交时间：2019/07/11
Admittance control  neural networks (NNs)  observer  optimal adaptive control  robot-environment interaction