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RTDOD: A large-scale RGB-thermal domain-incremental object detection dataset for UAVs 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 9
作者:  Feng, Hangtao;  Zhang, Lu;  Zhang, Siqi;  Wang, Dong;  Yang, Xu;  Liu, Zhiyong
Adobe PDF(3013Kb)  |  收藏  |  浏览/下载:119/8  |  提交时间:2024/02/22
Domain -incremental object detection  Dataset  RGB-T dataset  Object detection dataset  UAVs dataset  Object detection  
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:158/19  |  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:339/94  |  提交时间:2022/06/14
Musculoskeletal robot  Constraint Force Field  High precision  Control Schemes of robot  
Remote Operation with Haptic Force and Virtual Proxy for an Underwater Vehicle-Manipulator System 会议论文
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS), Suzhou, China, 2021.5.14-2021.5.16
作者:  Jin Ma;  Yu Wang;  Rui Wang;  Shuo Wang
Adobe PDF(9159Kb)  |  收藏  |  浏览/下载:214/44  |  提交时间:2022/06/14
Underwater vehicle-manipulator system  Teleoperation  Haptic force  Virtual proxy  
Real-Time Localization and Matching of Corneal Reflections for Eye Gaze Estimation via a Lightweight Network 会议论文
, 线上, 2021-10-16
作者:  牛李金梁;  Gu ZP(顾照鹏);  Ye JT(叶军涛);  Dong QL(董秋雷)
Adobe PDF(1271Kb)  |  收藏  |  浏览/下载:307/88  |  提交时间:2022/06/14
gaze estimation  corneal reflections  keypoint detection  pattern recognition  
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:461/160  |  提交时间:2022/06/06
Model predictive control  robotic manipulator  leaning terminal cost  neural networks  event-triggered mechanism  unknown dynamics  
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:301/52  |  提交时间:2022/01/27
Brain-inspired decision making  Fitts' law  Motion generation  Musculoskeletal system  Speed-accuracy tradeoff (SAT)  
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:400/81  |  提交时间:2021/03/29
Model predictive control  Neural network  Robotic manipulator  Unknown dynamics  Online learning estimation  Input constraints  
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:370/58  |  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
Adobe PDF(5970Kb)  |  收藏  |  浏览/下载:277/95  |  提交时间:2020/06/09
Brain-inspired Computing  Emotion-motivated Learning  Emotion-memory Interactions  Decision-making  Reinforcement Learning