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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：80/0  |  提交时间：2023/12/21
Biologically inspired control  cerebellum-inspired model  motion generation  motion learning  musculoskeletal robot  reinforcement learning  
Recent advancements in multimodal human-robot interaction 期刊论文
FRONTIERS IN NEUROROBOTICS, 2023, 卷号: 17, 页码: 21
作者:  Su, Hang;  Qi, Wen;  Chen, Jiahao;  Yang, Chenguang;  Sandoval, Juan;  Laribi, Med Amine
收藏  |  浏览/下载：29/0  |  提交时间：2023/11/17
multi-modal signal processing  multi-modal feedback  multi-modal human-robot interaction  physical human-robot interaction  human-robot interaction  
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：77/0  |  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)  
Editorial: Human inspired robotic intelligence and structure in demanding environments 期刊论文
FRONTIERS IN NEUROROBOTICS, 2022, 卷号: 16, 页码: 2
作者:  Chen, Jiahao;  Su, Hang;  Sandoval, Juan;  Zhang, Longbin;  Zhong, Shanlin
收藏  |  浏览/下载：138/0  |  提交时间：2022/11/14
demanding environments  human-robot interaction  robotic intelligence  dexterous manipulation  sensorimotor coordination  
Motor-Cortex-Like Recurrent Neural Network and Multitask Learning for the Control of Musculoskeletal Systems 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 2, 页码: 424-436
作者:  Chen, Jiahao;  Qiao, Hong
收藏  |  浏览/下载：158/0  |  提交时间：2022/07/25
Muscles  Musculoskeletal system  Robots  Statistics  Sociology  Recurrent neural networks  Neurons  Biologically inspired  motor cortex  muscle synergy  musculoskeletal system  neuromuscular control  recurrent neural network (RNN)  
Anti-interference analysis of bio-inspired musculoskeletal robotic system q 期刊论文
NEUROCOMPUTING, 2021, 卷号: 436, 页码: 114-125
作者:  Wu, Yaxiong;  Chen, Jiahao;  Qiao, Hong
收藏  |  浏览/下载：195/0  |  提交时间：2021/05/06
Musculoskeletal system  Biologically inspired  Muscle model  
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：190/0  |  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  
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：191/0  |  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  
Deterministic generative adversarial imitation learning 期刊论文
NEUROCOMPUTING, 2020, 卷号: 388, 页码: 60-69
作者:  Zuo, Guoyu;  Chen, Kexin;  Lu, Jiahao;  Huang, Xiangsheng
收藏  |  浏览/下载：169/0  |  提交时间：2020/06/02
Robot learning  Imitation learning  Reinforcement learning  GAN  DGAIL  
From Rough to Precise: Human-Inspired Phased Target Learning Framework for Redundant Musculoskeletal Systems 期刊论文
FRONTIERS IN NEUROROBOTICS, 2019, 卷号: 13, 期号: 61, 页码: 14
作者:  Zhou, Junjie;  Chen, Jiahao;  Deng, Hu;  Qiao, Hong
Adobe PDF(3654Kb)  |  收藏  |  浏览/下载：331/38  |  提交时间：2019/12/16
musculoskeletal system  human-inspired motion learning  noise in nervous system  reinforcement learning  phased target learning