CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共5条,第1-5条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
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
Adobe PDF(2207Kb)  |  收藏  |  浏览/下载:297/110  |  提交时间:2023/01/18
Brain-inspired intelligent robot  software and hardware  decision making  muscle control  cognitive intelligence  
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:196/47  |  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:190/53  |  提交时间:2021/06/01
Motion generalization  motion learning  muscle synergy  musculoskeletal system  neuromuscular control  
Motor-Cortex-Like Recurrent Neural Network and Multi-Tasks Learning for the Control of Musculoskeletal Systems 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 卷号: 暂无, 期号: 暂无, 页码: 暂无
作者:  Jiahao Chen;  Hong Qiao
Adobe PDF(1958Kb)  |  收藏  |  浏览/下载:154/42  |  提交时间:2021/06/01
Biologically inspired  Musculoskeletal system  Neuromuscular control,  Motor cortex  Muscle synergy  Recurrent neural network  
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:309/36  |  提交时间:2019/12/16
musculoskeletal system  human-inspired motion learning  noise in nervous system  reinforcement learning  phased target learning