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Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning 期刊论文
Frontiers in Neurorobotics, 2021, 卷号: 15, 页码: 658280
作者:  Duan, Haonan;  Wang, Peng;  Huang, Yayu;  Xu, Guangyun;  Wei, Wei;  Shen, Xiaofei
Adobe PDF(3145Kb)  |  收藏  |  浏览/下载：42/14  |  提交时间：2024/05/29
Robotics  Dexterous grasping  Point Cloud  Deep learning  
Semantic Policy Network for Zero-Shot Object Goal Visual Navigation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 11, 页码: 7655-7662
作者:  Zhao, Qianfan;  Zhang, Lu;  He, Bin;  Liu, Zhiyong
Adobe PDF(1888Kb)  |  收藏  |  浏览/下载：145/18  |  提交时间：2023/12/21
Deep learning  path planning  reinforcement learning  vision-based navigation  
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：160/19  |  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)  
Constructing Constraint Force Field in Musculoskeletal Robot by Co-optimizing Muscle Arrangements and Constant Activations 会议论文
, PADUA，Italy, 2022-7-18
作者:  Zhong SL(钟汕林);  Zhou JJ(周俊杰);  Wu W(吴伟)
Adobe PDF(937Kb)  |  收藏  |  浏览/下载：342/94  |  提交时间：2022/06/14
Musculoskeletal robot  Constraint Force Field  High precision  Control Schemes of robot  
In-Hand Object Localization Using a Novel High-Resolution Visuotactile Sensor 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 6, 页码: 6015-6025
作者:  Cui, Shaowei;  Wang, Rui;  Hu, Jingyi;  Wei, Junhang;  Wang, Shuo;  Lou, Zheng
Adobe PDF(4222Kb)  |  收藏  |  浏览/下载：323/70  |  提交时间：2022/06/06
In-hand object localization  robotic manipulation  tactile sensor  
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：255/0  |  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：240/0  |  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：304/52  |  提交时间：2022/01/27
Brain-inspired decision making  Fitts' law  Motion generation  Musculoskeletal system  Speed-accuracy tradeoff (SAT)  
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：372/58  |  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：278/95  |  提交时间：2020/06/09
Brain-inspired Computing  Emotion-motivated Learning  Emotion-memory Interactions  Decision-making  Reinforcement Learning