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A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2024, 卷号: 37, 期号: 1, 页码: 82-113
作者:  Zhang, Jinhan;  Chen, Jiahao;  Zhong, Shanlin;  Qiao, Hong
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/03
Basal ganglia and cerebellum  bio-inspired integration model  motion learning  muscu-loskeletal robot  reinforcement learning  
Compliant peg-in-hole assembly for nonconvex axisymmetric components based on attractive region in environment 期刊论文
Robotica, 2023, 卷号: 41, 期号: 8, 页码: 2314 - 2336
作者:  Liu Y(刘洋);  Chen ZY(陈紫渝);  Qiao H(乔红);  Gan S(甘帅)
Adobe PDF(2042Kb)  |  收藏  |  浏览/下载：42/14  |  提交时间：2024/06/05
automation  motion planning  nonconvex axisymmetric parts  high-precision peg-in-hole assembly  constraint region analysis  attractive region in environment  
A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot 期刊论文
Journal of Systems Science and Complexity, 2024, 卷号: 37, 页码: 82-113
作者:  Jinhan Zhang;  Jiahao Chen;  Shanlin Zhong;  Hong Qiao
Adobe PDF(1513Kb)  |  收藏  |  浏览/下载：45/12  |  提交时间：2024/06/04
A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies 期刊论文
Robotic Intelligence and Automation, 2024, 卷号: 44, 期号: 2, 页码: 316-333
作者:  Xiaona Wang;  Jiahao Chen;  Hong Qiao
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载：44/12  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Neural Manifold Modulated Continual Reinforcement Learning for Musculoskeletal Robots 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 卷号: 16, 期号: 1, 页码: 86-99
作者:  Chen JH(陈嘉浩);  Chen ZY(陈紫渝);  Yao CJ(姚超竞);  Qiao H(乔红)
Adobe PDF(6732Kb)  |  收藏  |  浏览/下载：54/14  |  提交时间：2024/06/04
Continual reinforcement learning  musculoskeletal robots  neural manifold  recurrent neural network (RNN)  
Memory, attention, and muscle synergies based reinforcement and transfer learning for musculoskeletal robots under imperfect observation 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: doi:10.1109/TMECH.2024.3401045
作者:  Chen JH(陈嘉浩);  Wu YX(吴亚雄);  Qiao H(乔红)
Adobe PDF(5646Kb)  |  收藏  |  浏览/下载：19/4  |  提交时间：2024/06/04
Muscle synergy  musculoskeletal robots  reinforcement learning  
Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 1-18
作者:  Hong Qiao;  Ya-Xiong Wu;  Shan-Lin Zhong;  Pei-Jie Yin;  Jia-Hao Chen
Adobe PDF(2207Kb)  |  收藏  |  浏览/下载：58/13  |  提交时间：2024/04/23
Brain-inspired intelligent robot  software and hardware  decision making  muscle control  cognitive intelligence  
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：134/0  |  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
Adobe PDF(2080Kb)  |  收藏  |  浏览/下载：151/18  |  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)  
Improving performance of robots using human-inspired approaches: a survey 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2022, 卷号: 65, 期号: 12, 页码: 31
作者:  Qiao, Hong;  Zhong, Shanlin;  Chen, Ziyu;  Wang, Hongze
收藏  |  浏览/下载：152/0  |  提交时间：2023/03/20
human-inspired intelligent robots  brain-inspired intelligence  decision making  visual cognition  musculoskeletal robots