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Bioinspired Gain-Modulated Recurrent Neural Network for Controlling Musculoskeletal Robot 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 16
作者:  Zhong, Shanlin;  Zhou, Junjie;  Qiao, Hong
收藏  |  浏览/下载：227/0  |  提交时间：2022/01/27
Robots  Modulation  Robot kinematics  Neurons  Brain modeling  Recurrent neural networks  Encoding  Biologically inspired control  gain modulation  motor primitives  musculoskeletal robot  recurrent neural network (RNN)  
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：204/0  |  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  
Hierarchical Motion Learning for Goal-Oriented Movements With Speed-Accuracy Tradeoff of a Musculoskeletal System 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14
作者:  Zhou, Junjie;  Zhong, Shanlin;  Wu, Wei
Adobe PDF(5440Kb)  |  收藏  |  浏览/下载：261/46  |  提交时间：2022/01/27
Brain-inspired decision making  Fitts' law  Motion generation  Musculoskeletal system  Speed-accuracy tradeoff (SAT)  
Learning to Assemble Noncylindrical Parts Using Trajectory Learning and Force Tracking 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 页码: 12
作者:  Su, Jianhua;  Meng, Yan;  Wang, Lili;  Yang, Xu
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：323/52  |  提交时间：2022/01/27
Force  Trajectory  Robots  Task analysis  Hidden Markov models  Impedance  Training  Assembly skill  impedance control  learning from demonstration  movement primitives (MPs)  
AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction 期刊论文
NEUROCOMPUTING, 2021, 卷号: 445, 页码: 298-308
作者:  Zhou, Hao;  Ren, Dongchun;  Xia, Huaxia;  Fan, Mingyu;  Yang, Xu;  Huang, Hai
收藏  |  浏览/下载：231/0  |  提交时间：2021/08/15
Pedestrian trajectory prediction  Graph neural networks  Spatio-temporal graph  Graph attention  
Visual affordance detection using an efficient attention convolutional neural network 期刊论文
NEUROCOMPUTING, 2021, 卷号: 440, 期号: 2021, 页码: 36-44
作者:  Gu, Qipeng;  Su, Jianhua;  Yuan, Lei
Adobe PDF(1561Kb)  |  收藏  |  浏览/下载：324/65  |  提交时间：2021/06/15
Affordance detection  Attention mechanism  Up-sampling layer  
WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2020, 卷号: 130, 页码: 9
作者:  Zhang, Fengyi;  Liu, Zhiyong;  Xiong, Fangzhou;  Su, Jianhua;  Qiao, Hong
Adobe PDF(1550Kb)  |  收藏  |  浏览/下载：332/48  |  提交时间：2020/07/20
Skill transfer learning  Serial structures  Robot skill learning  Graph Neural Network  
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：253/88  |  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：264/89  |  提交时间：2020/06/09
Brain-inspired computing  decision-making  emotion modulation  emotion-cognition interactions  reinforcement learning  
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：349/39  |  提交时间：2019/12/16
musculoskeletal system  human-inspired motion learning  noise in nervous system  reinforcement learning  phased target learning