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A Cross-Scale and Illumination Invariance-Based Model for Robust Object Detection in Traffic Surveillance Scenarios 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2023, 卷号: 24, 期号: 7, 页码: 6989-6999
作者:  Yan-Feng Lu;  Jing-Wen Gao;  Qian Yu;  Yi Li;  Yi-Sheng Lv;  Hong Qiao
Adobe PDF(2068Kb)  |  收藏  |  浏览/下载：26/8  |  提交时间：2024/06/06
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：121/0  |  提交时间：2023/12/21
Biologically inspired control  cerebellum-inspired model  motion generation  motion learning  musculoskeletal robot  reinforcement learning  
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：129/8  |  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)  
Adaptive model-based dynamic event-triggered output feedback control of a robotic manipulator with disturbance 期刊论文
ISATransactions, 2021, 页码: 64-78
作者:  Gao jie;  Kang Erlong;  He Wei;  Qiao hong
Adobe PDF(2719Kb)  |  收藏  |  浏览/下载：274/99  |  提交时间：2022/06/14
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, 卷号: 19, 期号: 4, 页码: 2801-2815
作者:  Kang, Erlong;  Qiao, Hong;  Chen, Ziyu;  Gao, Jie
Adobe PDF(4203Kb)  |  收藏  |  浏览/下载：447/157  |  提交时间：2022/06/06
Model predictive control  robotic manipulator  leaning terminal cost  neural networks  event-triggered mechanism  unknown dynamics  
A survey of brain-inspired intelligent robots with integration of vision, decision, motion control and musculoskeletal systems 期刊论文
IEEE Transactions on Cybernetics, 2021, 卷号: 暂无, 期号: 暂无, 页码: 暂无
作者:  Hong Qiao;  Jiahao Chen;  Xiao Huang
Adobe PDF(1001Kb)  |  收藏  |  浏览/下载：227/55  |  提交时间：2021/06/01
Brain-inspired intelligent robots  musculoskeletal robots  visual cognition  decision making  muscle control  
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：189/52  |  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：231/60  |  提交时间：2021/06/01
Motion generalization  motion learning  muscle synergy  musculoskeletal system  neuromuscular control  
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：225/70  |  提交时间：2020/06/09
Brain-inspired model  emotion  motion learning  recurrent neural network  
Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme 期刊论文
NEUROCOMPUTING, 2019, 卷号: 339, 期号: 暂无, 页码: 116-129
作者:  Jiahao Chen;  Shanlin Zhong;  Erlong Kang;  Hong Qiao
Adobe PDF(4018Kb)  |  收藏  |  浏览/下载：400/53  |  提交时间：2019/07/12
Human-like manipulation  Musculoskeletal system  Biologically inspired  Muscle synergy  Attractive region in environment