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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：99/0  |  提交时间：2023/12/21
Biologically inspired control  cerebellum-inspired model  motion generation  motion learning  musculoskeletal robot  reinforcement learning  
Policy generation network for zero-shot policy learning 期刊论文
COMPUTATIONAL INTELLIGENCE, 2023, 页码: 27
作者:  Qian, Yiming;  Zhang, Fengyi;  Liu, Zhiyong
收藏  |  浏览/下载：55/0  |  提交时间：2023/11/17
knowledge representation  lifelong reinforcement learning  zero-shot policy generation  
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
收藏  |  浏览/下载：96/0  |  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)  
Motor-Cortex-Like Recurrent Neural Network and Multitask Learning for the Control of Musculoskeletal Systems 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 2, 页码: 424-436
作者:  Chen, Jiahao;  Qiao, Hong
收藏  |  浏览/下载：168/0  |  提交时间：2022/07/25
Muscles  Musculoskeletal system  Robots  Statistics  Sociology  Recurrent neural networks  Neurons  Biologically inspired  motor cortex  muscle synergy  musculoskeletal system  neuromuscular control  recurrent neural network (RNN)  
Multimodal Unknown Surface Material Classification and Its Application to Physical Reasoning 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 7, 页码: 4406-4416
作者:  Wei, Junhang;  Cui, Shaowei;  Hu, Jingyi;  Hao, Peng;  Wang, Shuo;  Lou, Zheng
Adobe PDF(3954Kb)  |  收藏  |  浏览/下载：381/62  |  提交时间：2022/06/10
Robots  Convolutional neural networks  Visualization  Informatics  Feature extraction  Task analysis  Haptic interfaces  Auditory and haptic information  deep learning  multimodal fusion  physical reasoning  unknown surface material classification (USMC)  
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：422/155  |  提交时间：2022/06/06
Model predictive control  robotic manipulator  leaning terminal cost  neural networks  event-triggered mechanism  unknown dynamics  
Zero-shot policy generation in lifelong reinforcement learning q 期刊论文
NEUROCOMPUTING, 2021, 卷号: 446, 页码: 65-73
作者:  Qian, Yi-Ming;  Xiong, Fang-Zhou;  Liu, Zhi-Yong
收藏  |  浏览/下载：208/0  |  提交时间：2021/08/15
Lifelong reinforcement learning  Generalization policy  Task domain  
Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints 期刊论文
ISA TRANSACTIONS, 2021, 卷号: 109, 页码: 89-101
作者:  Kang, Erlong;  Qiao, Hong;  Gao, Jie;  Yang, Wenjing
Adobe PDF(942Kb)  |  收藏  |  浏览/下载：359/69  |  提交时间：2021/03/29
Model predictive control  Neural network  Robotic manipulator  Unknown dynamics  Online learning estimation  Input constraints  
State Primitive Learning to Overcome Catastrophic Forgetting in Robotics 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 9
作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong
收藏  |  浏览/下载：182/0  |  提交时间：2021/01/06
Catastrophic forgetting  State primitives  Robotics  Continual 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