已选(0)清除
条数/页: 排序方式: |
| Outlier Robust Feature Correspondence by Learning Based Matching Process 期刊论文 Journal of Systems Science and Complexity, 2024, 页码: - 作者: Yang X(杨旭) ; Shaofeng Zeng; Zhiyong Liu![](/image/person.jpg)
Adobe PDF(2211Kb)  |   收藏  |  浏览/下载:15/7  |  提交时间:2024/06/21 |
| Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model 期刊论文 IEEE Transactions on Intelligent Transportation Systems, 2024, 页码: 10.1109/TITS.2024.3400227 作者: Zeyu Gao; Yao Mu; Chen Chen ; Jingliang Duan; Ping Luo; Yanfeng Lu ; Shengbo Eben Li
Adobe PDF(3954Kb)  |   收藏  |  浏览/下载:24/6  |  提交时间:2024/06/06 End-to-end autonomous driving deep reinforcement learning world model |
| A cooperation and decision-making framework in dynamic confrontation for multi-agent systems 期刊论文 Computers and Electrical Engineering, 2024, 页码: 118 作者: Lexing Wang; Tenghai Qiu ; Zhiqiang Pu ; Jianqiang Yi![](/image/person.jpg)
Adobe PDF(1302Kb)  |   收藏  |  浏览/下载:24/5  |  提交时间:2024/06/06 |
| Robust Motion Learning for Musculoskeletal Robots Based on a Recurrent Neural Network and Muscle Synergies 期刊论文 IEEE Transactions on Automation Science and Engineering, 2024, 页码: 1-16 作者: Jiahao Chen ; Wu YX(吴亚雄); Yao CJ(姚超竞) ; Huang X(黄销)![](/image/person.jpg)
Adobe PDF(4084Kb)  |   收藏  |  浏览/下载:37/6  |  提交时间:2024/06/04 Musculoskeletal system Robots Muscles Reinforcement learning Robustness Learning systems Recurrent neural networks Musculoskeletal robots recurrent neural network muscle synergy robustness |
| Memory, attention, and muscle synergies based reinforcement and transfer learning for musculoskeletal robots under imperfect observation 期刊论文 IEEE/ASME Transactions on Mechatronics, 2024, 页码: doi:10.1109/TMECH.2024.3401045 作者: Chen JH(陈嘉浩) ; Wu YX(吴亚雄); Qiao H(乔红)![](/image/person.jpg)
Adobe PDF(5646Kb)  |   收藏  |  浏览/下载:17/3  |  提交时间:2024/06/04 Muscle synergy musculoskeletal robots reinforcement learning |
| Human-robot object handover: Recent progress and future direction 期刊论文 Biomimetic Intelligence and Robotics, 2024, 卷号: 4, 页码: 100145 作者: Duan, Haonan ; Yang, Yifan; Li, Daheng; Wang, Peng![](/image/person.jpg)
Adobe PDF(1839Kb)  |   收藏  |  浏览/下载:29/10  |  提交时间:2024/05/29 Human–robot interactions Object handover |
| Automatic Robotic Cranium-Milling: A Motion Control Study of In Vitro Animal Experiments 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 1-14 作者: Bian GB(边桂彬) ; Qian C(钱琛) ; Li Z(李桢) ; Ye Q(叶强); Ge PC(葛培聪); Zhao JZ(赵继宗)
Adobe PDF(2827Kb)  |   收藏  |  浏览/下载:41/9  |  提交时间:2024/05/28 Autonomous craniotomy robot model-free adaptive nonlinear force control skull-milling breakthrough detection in vitro animal experiments |
| Fixed-Time Antidisturbance Consensus Tracking for Nonlinear Multiagent Systems with Matching and Mismatching Disturbances 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1410-1423 作者: Xiangmin Tan ; Chunyan Hu; Guanzhen Cao; Qinglai Wei ; Wei Li ; Bo Han
Adobe PDF(3106Kb)  |   收藏  |  浏览/下载:34/14  |  提交时间:2024/05/22 Antidisturbance backstepping consensus tracking fixed-time stability multiagent system (MASs) strict feedback affine nonlinear systems |
| Integrated Tracking Control of an Underwater Bionic Robot Based on Multimodal Motions 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 卷号: 54, 期号: 3, 页码: 1599-1610 作者: Wang, Jian ; Wu, Zhengxing ; Zhang, Yang ; Kong, Shihan ; Tan, Min ; Yu, Junzhi![](/image/person.jpg)
Adobe PDF(5090Kb)  |   收藏  |  浏览/下载:76/12  |  提交时间:2024/03/27 Disturbance observer (DOB) fuzzy system model predictive control (MPC) tracking control underwater bionic robot |
| Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038 作者: Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li ; Xia Xie; Lizhen Cui; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(7239Kb)  |   收藏  |  浏览/下载:61/14  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |