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浏览/检索结果: 共11条，第1-10条 帮助 限定条件 专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 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 收藏  |  浏览/下载：14/0  |  提交时间：2023/02/22 Variable impedance skill  Learning from demonstrations  Skills learning  Human-robot interaction   A Control Framework for Adaptation of Training Task and Robotic Assistance for Promoting Motor Learning With an Upper Limb Rehabilitation Robot 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 11 作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang 收藏  |  浏览/下载：21/0  |  提交时间：2022/06/10 Robots  Trajectory  Task analysis  Training  Oscillators  Rehabilitation robotics  Real-time systems  Assist as needed (AAN)  motor learning  nonlinear adaptive control  rehabilitation robotics   Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 19-30 作者:  Ruofan Wu;  Zhikai Yao;  Jennie Si;  He (Helen) Huang 收藏  |  浏览/下载：91/0  |  提交时间：2021/11/03 Automatic tracking of intact knee  configuration of robotic knee prosthesis  direct heuristic dynamic programming (dHDP)  reinforcement learning control   Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 47-63 作者:  Yongliang Yang;  Zihao Ding;  Rui Wang;  Hamidreza Modares;  Donald C. Wunsch 收藏  |  浏览/下载：83/0  |  提交时间：2021/11/03 Adaptive impedance control  data-driven method  human-robot interaction (HRI)  reinforcement learning  velocity-free   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 收藏  |  浏览/下载：28/0  |  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)   Reinforcement Learning Based Variable Impedance Control for High Precision Human-robot Collaboration Tasks 会议论文 线上, July 3-5, 2021 作者:  Meng, Yan;  Su, Jianhua;  Wu, Jiaxi 收藏  |  浏览/下载：12/0  |  提交时间：2022/06/15 Learning impedance control of robots with enhanced transient and steady-state control performances 期刊论文 SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 13 作者:  Sun, Tairen;  Cheng, Long;  Peng, Liang;  Hou, Zengguang;  Pan, Yongping 收藏  |  浏览/下载：7/0  |  提交时间：2020/09/07 robot  adaptive control  neural network  impedance control  parameter convergence   Estimation of human impedance and motion intention for constrained human-robot interaction 期刊论文 NEUROCOMPUTING, 2020, 卷号: 390, 页码: 268-279 作者:  Yu, Xinbo;  Li, Yanan;  Zhang, Shuang;  Xue, Chengqian;  Wang, Yu 收藏  |  浏览/下载：19/0  |  提交时间：2020/06/22 Human motion intention estimation  Impedance learning  Adaptive neural network control  Full-state constraints  Barrier Lyapunov functions   Force Sensorless Admittance Control With Neural Learning for Robots With Actuator Saturation 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 4, 页码: 3138-3148 作者:  Peng, Guangzhu;  Yang, Chenguang;  He, Wei;  Chen, C. L. Philip 收藏  |  浏览/下载：17/0  |  提交时间：2020/03/30 Robot sensing systems  Admittance  Manipulators  Force  Torque  Adaptation models  Adaptive neural control  admittance control  neural networks (NNs)  observer   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：3/0  |  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