CASIA OpenIR
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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  
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:168/46  |  提交时间:2021/06/01
Biologically inspired  Musculoskeletal system  Neuromuscular control,  Motor cortex  Muscle synergy  Recurrent neural network  
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:209/55  |  提交时间:2021/06/01
Motion generalization  motion learning  muscle synergy  musculoskeletal system  neuromuscular control  
Precision Work-piece Detection and Measurement Combining Top-down and Bottom-up Saliency 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 417-430
作者:  Jia Sun;  Peng Wang;  Yong-Kang Luo;  Gao-Ming Hao;  Hong Qiao
浏览  |  Adobe PDF(2519Kb)  |  收藏  |  浏览/下载:142/44  |  提交时间:2021/02/23
Work-pieces detection  salient region estimation  top-down and bottom-up saliency (TBS)  calibration  visual measurement.  
Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 期号: 27(6), 页码: 2966-2979
作者:  Huang, Xiayuan;  Qiao, Hong;  Bo, Zhang;  Nie, Xiangli
浏览  |  Adobe PDF(6084Kb)  |  收藏  |  浏览/下载:138/59  |  提交时间:2020/10/13
land cover classification  dimensionality reduction  tensor local discriminant analysis  PolSAR image  
PolSAR Image Feature Extraction via Co-Regularized Graph Embedding 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 19
作者:  Huang, Xiayuan;  Nie, Xiangli;  Qiao, Hong
Adobe PDF(8269Kb)  |  收藏  |  浏览/下载:326/68  |  提交时间:2020/08/03
Wishart distance  Euclidean distance of polarimetric features  co-regularized graph embedding  dimensionality reduction  PolSAR image feature extraction  
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  
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:345/39  |  提交时间:2019/12/16
musculoskeletal system  human-inspired motion learning  noise in nervous system  reinforcement learning  phased target learning