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Hierarchical Policy Learning With Demonstration Learning for Robotic Multiple Peg-in-Hole Assembly Tasks 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 10, 页码: 10254-10264
作者:  Yan, Shaohua;  Xu, De;  Tao, Xian
Adobe PDF(4845Kb)  |  收藏  |  浏览/下载：134/13  |  提交时间：2023/11/17
Assembly model  demonstration learning (DL)  force-based control algorithm  hierarchical reinforcement learning (HRL)  peg-in-hole assembly  
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：415/71  |  提交时间：2023/02/22
Variable impedance skill  Learning from demonstrations  Skills learning  Human-robot interaction  
Design and Control of an Underactuated Finger Exoskeleton for Assisting Activities of Daily Living 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 页码: 11
作者:  Li, Houcheng;  Cheng, Long;  Sun, Ning;  Cao, Ran
Adobe PDF(1769Kb)  |  收藏  |  浏览/下载：286/40  |  提交时间：2022/01/27
Exoskeletons  Grasping  Electronics packaging  Kinematics  Senior citizens  Robots  Shape  Admittance control  assistance  finger exoskeleton  preshaping  shape-adaptive grasping  underactuation  
High-precision robotic assembly system using three-dimensional vision 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 3, 页码: 12
作者:  Yan, Shaohua;  Tao, Xian;  Xu, De
Adobe PDF(1740Kb)  |  收藏  |  浏览/下载：277/20  |  提交时间：2021/11/03
3D vision  feature extraction  pose estimation  hybrid visual servoing  robotic assembly system  
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：283/0  |  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  
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：311/0  |  提交时间：2019/07/11
Admittance control  neural networks (NNs)  observer  optimal adaptive control  robot-environment interaction