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A Cerebellum-Inspired Prediction and Correction Model for Motion Control of a Musculoskeletal Robot 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1209-1223
作者:  Zhang, Jinhan;  Chen, Jiahao;  Wu, Wei;  Qiao, Hong
收藏  |  浏览/下载：93/0  |  提交时间：2023/12/21
Biologically inspired control  cerebellum-inspired model  motion generation  motion learning  musculoskeletal robot  reinforcement learning  
Motion Learning and Rapid Generalization for Musculoskeletal Systems Based on Recurrent Neural Network Modulated by Initial States 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1691-1704
作者:  Wang, Xiaona;  Chen, Jiahao;  Qiao, Hong
收藏  |  浏览/下载：90/0  |  提交时间：2023/03/20
Muscles  Recurrent neural networks  Mathematical models  Bio-inspired control  Robot kinematics  Tendons  Musculoskeletal system  Biologically inspired control  motor cortex  movement preparation  musculoskeletal system  recurrent neural network (RNN)  
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：188/0  |  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  
Tracking of Uncertain Robotic Manipulators Using Event-Triggered Model Predictive Control With Learning Terminal Cost 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 15
作者:  Kang, Erlong;  Qiao, Hong;  Chen, Ziyu;  Gao, Jie
Adobe PDF(4203Kb)  |  收藏  |  浏览/下载：420/155  |  提交时间：2022/06/06
Model predictive control  robotic manipulator  leaning terminal cost  neural networks  event-triggered mechanism  unknown dynamics  
In-Hand Object Localization Using a Novel High-Resolution Visuotactile Sensor 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 6, 页码: 6015-6025
作者:  Cui, Shaowei;  Wang, Rui;  Hu, Jingyi;  Wei, Junhang;  Wang, Shuo;  Lou, Zheng
Adobe PDF(4222Kb)  |  收藏  |  浏览/下载：272/54  |  提交时间：2022/06/06
In-hand object localization  robotic manipulation  tactile sensor  
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1659-1666
作者:  Wei, Wei;  Li, Daheng;  Wang, Peng;  Li, Yiming;  Li, Wanyi;  Luo, Yongkang;  Zhong, Jun
Adobe PDF(3717Kb)  |  收藏  |  浏览/下载：234/10  |  提交时间：2022/03/17
Deep learning in grasping and manipulation  multifingered hands  computer vision for automation  point cloud completion  iterative refinement  
A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14
作者:  Qiao, Hong;  Chen, Jiahao;  Huang, Xiao
收藏  |  浏览/下载：202/0  |  提交时间：2022/01/27
Robots  Visualization  Task analysis  Brain modeling  Musculoskeletal system  Motion control  Decision making  Brain-inspired intelligent robots  decision making  muscle control  musculoskeletal robots  visual cognition  
Hydrodynamics of a Flexible Flipper for an Underwater Vehicle-Manipulator System 期刊论文
IEEE/ASME Transactions on Mechatronics, 2021, 卷号: -, 期号: -, 页码: 1-11
作者:  Bai XJ(白雪剑);  Wang Y(王宇);  Wang R(王睿);  Wang S(王硕);  Tan M(谭民)
Adobe PDF(8510Kb)  |  收藏  |  浏览/下载：187/45  |  提交时间：2022/01/06
Biomimetic robot  flexible flipper  hydrodynamic model  underwater vehicle-manipulator system  
Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5217-5226
作者:  Wang, Weiqun;  Shi, Weiguo;  Hou, Zeng-Guang;  Chen, Badong;  Liang, Xu;  Ren, Shixin;  Wang, Jiaxing;  Peng, Liang
Adobe PDF(13331Kb)  |  收藏  |  浏览/下载：337/49  |  提交时间：2021/04/06
Muscles  Adaptation models  Adaptive learning  Force  Calibration  Hip  Electromyography  Adaptive learning  human–  robot interaction  neuromusculoskeletal modeling  parameter calibration  surface electromyography (sEMG) processing  
Reducing Redundancy of Musculoskeletal Robot With Convex Hull Vertexes Selection 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2020, 卷号: 12, 期号: 3, 页码: 601-617
作者:  Zhong, Shanlin;  Chen, Jiahao;  Niu, Xingyu;  Fu, Hang;  Qiao, Hong
收藏  |  浏览/下载：202/0  |  提交时间：2021/01/07
Muscles  Robots  Mathematical model  Hardware  Redundancy  Numerical models  Convex hull vertexes  human-like robot  motion experiment  musculoskeletal system  reduce redundancy