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Multicontact Intrinsic Force Sensing Method of a Flexible Finger for Hand Assistance 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2024, 页码: 1-12
作者:  Li, Guotao;  Zhang, Can;  Su, Can;  Liu, Zhijie;  Liang, Xu;  Cheng, Long;  Zeng-Guang Hou
Adobe PDF(14048Kb)  |  收藏  |  浏览/下载：18/4  |  提交时间：2024/04/25
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：313/60  |  提交时间：2023/02/22
Variable impedance skill  Learning from demonstrations  Skills learning  Human-robot interaction  
Design and Optimization of a Control Framework for Robot Assisted Additive Manufacturing Based on the Stewart Platform 期刊论文
International Journal of Control, Automation and Systems, 2022, 卷号: 20, 期号: 3, 页码: 968-982
作者:  Tamir, Tariku Sinshaw;  Xiong,Gang;  Dong,Xisong;  Fang,Qihang;  Liu,Sheng;  Lodhi,Ehtisham;  Shen,Zhen;  Wang, Fei-Yue
Adobe PDF(3410Kb)  |  收藏  |  浏览/下载：358/168  |  提交时间：2022/04/07
Additive Manufacturing, Extended Proportion-Derivation Sliding Mode Controller, Grey Wolf Optimization, Print Quality, Stewart Platform  
A Feedback-Based Print Quality Improving Strategy for FDM 3D Printing: An Optimal Design Approach 期刊论文
The International Journal of Advanced Manufacturing Technology, 2022, 期号: 2022, 页码: 1-15
作者:  Tamir, Tariku Sinshaw;  Xiong, Gang;  Fang,Qihang;  Dong,Xisong;  Shen,Zhen;  Wang,Fei-Yue
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：231/59  |  提交时间：2022/04/07
Industry4.0, 3D Printing, Print Quality, Error Causing Parameters, Deformations, Fuzzy Inference System  
Hierarchical Motion Learning for Goal-Oriented Movements With Speed-Accuracy Tradeoff of a Musculoskeletal System 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14
作者:  Zhou, Junjie;  Zhong, Shanlin;  Wu, Wei
Adobe PDF(5440Kb)  |  收藏  |  浏览/下载：257/46  |  提交时间：2022/01/27
Brain-inspired decision making  Fitts' law  Motion generation  Musculoskeletal system  Speed-accuracy tradeoff (SAT)  
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
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：319/51  |  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)  
Multi-Feature Super-Resolution Network for Cloth Wrinkle Synthesis 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2021, 卷号: 36, 期号: 2, 页码: 478-493
作者:  Lan Chen;  Juntao Ye;  Xiaopeng Zhang
Adobe PDF(3004Kb)  |  收藏  |  浏览/下载：179/47  |  提交时间：2022/01/14
cloth animation  deep learning  multi-feature  super-resolution  wrinkle synthesis  
A survey of brain-inspired intelligent robots with integration of vision, decision, motion control and musculoskeletal systems 期刊论文
IEEE Transactions on Cybernetics, 2021, 卷号: 暂无, 期号: 暂无, 页码: 暂无
作者:  Hong Qiao;  Jiahao Chen;  Xiao Huang
Adobe PDF(1001Kb)  |  收藏  |  浏览/下载：212/50  |  提交时间：2021/06/01
Brain-inspired intelligent robots  musculoskeletal robots  visual cognition  decision making  muscle control  
Muscle-synergies-based neuromuscular control for motion learning and generalization of a musculoskeletal system 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 卷号: 51, 期号: 6, 页码: 3993 - 4006
作者:  Jiahao Chen;  Hong Qiao
Adobe PDF(2688Kb)  |  收藏  |  浏览/下载：208/54  |  提交时间：2021/06/01
Motion generalization  motion learning  muscle synergy  musculoskeletal system  neuromuscular control  
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 5, 页码: 1289-1307
作者:  Wang, Wenshuo;  Na, Xiaoxiang;  Cao, Dongpu;  Gong, Jianwei;  Xi, Junqiang;  Xing, Yang;  Wang, Fei-Yue
Adobe PDF(14998Kb)  |  收藏  |  浏览/下载：226/28  |  提交时间：2020/09/07
Automated vehicle  decision-making  human driver  human-vehicle interaction  shared control