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CASIA OpenIR
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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  
Passivity-based filtering for networked semi-Markov robotic manipulators with mode-dependent quantization and event-triggered communication 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 2, 页码: 9
作者:  Ji, Yidao;  Wu, Wei;  Fu, Hang;  Qiao, Hong
收藏  |  浏览/下载：171/0  |  提交时间：2021/04/27
Semi-Markov manipulator  networked filtering  mode-dependent quantization  mode-dependent event-triggered communication  
Mode-dependent event-triggered tracking control for uncertain semi-Markov systems with application to vertical take-off and landing helicopter 期刊论文
MEASUREMENT & CONTROL, 2020, 卷号: 53, 期号: 5-6, 页码: 954-961
作者:  Ji, Yidao;  Li, Yinlin;  Wu, Wei;  Fu, Hang;  Qiao, Hong
收藏  |  浏览/下载：178/0  |  提交时间：2020/07/20
Semi-Markov system  mode-dependent event-triggered control  mode-dependent uncertainties  
Mode-dependent event-triggered tracking control for uncertain semi-Markov systems with application to vertical take-off and landing helicopter 期刊论文
MEASUREMENT & CONTROL, 2020, 卷号: 53, 期号: 5-6, 页码: 954-961
作者:  Ji, Yidao;  Li, Yinlin;  Wu, Wei;  Fu, Hang;  Qiao, Hong
收藏  |  浏览/下载：194/0  |  提交时间：2020/07/20
Semi-Markov system  mode-dependent event-triggered control  mode-dependent uncertainties  
Computational modeling of Emotion-motivated Decisions for Continuous Control of Mobile Robots 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 卷号: 13, 期号: 2020, 页码: 1-14
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(5970Kb)  |  收藏  |  浏览/下载：251/87  |  提交时间：2020/06/09
Brain-inspired Computing  Emotion-motivated Learning  Emotion-memory Interactions  Decision-making  Reinforcement Learning  
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 10, 期号: 4, 页码: 1-15
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(1614Kb)  |  收藏  |  浏览/下载：262/88  |  提交时间：2020/06/09
Brain-inspired computing  decision-making  emotion modulation  emotion-cognition interactions  reinforcement learning  
Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2018, 卷号: 10, 期号: 4, 页码: 1153 - 1164
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong;  Ji, Yidao
浏览  |  Adobe PDF(2073Kb)  |  收藏  |  浏览/下载：209/68  |  提交时间：2020/06/09
Brain-inspired model  emotion  motion learning  recurrent neural network  
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2018, 卷号: 10, 期号: 2, 页码: 420-431
作者:  Yin, Peijie;  Qiao, Hong;  Wu, Wei;  Qi, Lu;  Li, Yinlin;  Zhong, Shanlin;  Zhang, Bo
浏览  |  Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：333/75  |  提交时间：2018/10/09
Biologically inspired model  object recognition  semantic learning  structural learning  
SAR target configuration recognition based on the biologically inspired model 期刊论文
NEUROCOMPUTING, 2017, 期号: 234, 页码: 185-191
作者:  Huang, Xiayuan;  Nie, Xiangli;  Wu, Wei;  Qiao, Hong;  Zhang, Bo
浏览  |  Adobe PDF(1628Kb)  |  收藏  |  浏览/下载：368/110  |  提交时间：2017/05/05
Biologically Inspired Model  Sar Target Configuration Recognition  Episodic Features  Semantic Features  Aspect Angle Estimation  
Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control 期刊论文
ASSEMBLY AUTOMATION, 2016, 卷号: 36, 期号: 1, 页码: 97-107
作者:  Qiao, Hong;  Li, Chuan;  Yin, Peijie;  Wu, Wei;  Liu, Zhi-Yong
收藏  |  浏览/下载：219/0  |  提交时间：2016/10/20
Learning Ability  Dynamic Simulation  Fast Response Ability  High Precision  Muscle-skeleton Simulation