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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:79/0  |  提交时间:2023/12/21
Biologically inspired control  cerebellum-inspired model  motion generation  motion learning  musculoskeletal robot  reinforcement learning  
A feedforward compensation approach for cable-driven musculoskeletal systems 期刊论文
ROBOTICA, 2022, 页码: 10
作者:  Fan, Yerui;  Yuan, Jianbo;  Wu, Yaxiong;  Qiao, Hong
收藏  |  浏览/下载:116/0  |  提交时间:2023/02/22
biomimetic robots  control of robotic systems  force control  humanoid robots  serial manipulator design and kinematics  
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:77/0  |  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)  
Hierarchical Neighbors Embedding 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Liu, Shenglan;  Yu, Yang;  Liu, Kaiyuan;  Wang, Feilong;  Wen, Wujun;  Qiao, Hong
收藏  |  浏览/下载:165/0  |  提交时间:2023/01/09
Data sparsity  hierarchical neighbors  manifold learning  topological and geometrical properties. the introduced to  
Observer-based event and self-triggered adaptive output feedback control of robotic manipulators 期刊论文
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 页码: 32
作者:  Gao, Jie;  He, Wei;  Qiao, Hong
收藏  |  浏览/下载:153/0  |  提交时间:2022/11/14
first-order filter  impulsive dynamical system  model-based event-triggered control  neural network  nonlinear uncertainty  observer estimation  robotic manipulator  
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:157/0  |  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)  
A Survey of Multifingered Robotic Manipulation: Biological Results, Structural Evolvements, and Learning Methods 期刊论文
FRONTIERS IN NEUROROBOTICS, 2022, 卷号: 16, 页码: 21
作者:  Li, Yinlin;  Wang, Peng;  Li, Rui;  Tao, Mo;  Liu, Zhiyong;  Qiao, Hong
收藏  |  浏览/下载:184/0  |  提交时间:2022/07/25
multifingered hand  visual-motor control  multi-mode fusion  hand structural evolution  learning-based manipulation  
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:399/152  |  提交时间:2022/06/06
Model predictive control  robotic manipulator  leaning terminal cost  neural networks  event-triggered mechanism  unknown dynamics  
Evolution and neural representation of mammalian cooperative behavior 期刊论文
CELL REPORTS, 2021, 卷号: 37, 期号: 7, 页码: 17
作者:  Jiang, Mengping;  Wang, Miaoyaoxin;  Shi, Qianqian;  Wei, Lei;  Lin, Yongqin;  Wu, Dingcheng;  Liu, Boyi;  Nie, Xiupeng;  Qiao, Hong;  Xu, Lin;  Yang, Tianming;  Wang, Zuoren
收藏  |  浏览/下载:182/0  |  提交时间:2021/12/28
Weakly Aligned Feature Fusion for Multimodal Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhu, Xiangyu;  Song, Zhan;  Yang, Xu;  Lei, Zhen;  Qiao, Hong
收藏  |  浏览/下载:185/0  |  提交时间:2022/01/27
Object detection  Feature extraction  Detectors  Robustness  Cameras  Automation  Training  Deep learning  feature fusion  multimodal object detection  pedestrian detection