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检索条件"机构=Key Lab of Complex Systems and Intelligence Science Institute of Automation"
740 条 记 录,以下是121-130 订阅
排序:
Cooperative Filtering with Range Measurements: A Distributed Constrained Zonotopic Method
arXiv
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arXiv 2023年
作者: Ding, Yu Cong, Yirui Wang, Xiangke Cheng, Long College of Intelligence Science and Technology National University of Defense Technology Changsha410073 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China
This article studies the distributed estimation problem of a multi-agent system with bounded absolute and relative range measurements. Parts of the agents are with high-accuracy absolute measurements, which are consid... 详细信息
来源: 评论
Learning Latent Causal Factors from the Intricate Sensor Feedback of Contact-Rich Robotic Assembly Tasks
SSRN
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SSRN 2023年
作者: Chen, Yurou Yu, Jiyang Lin, Zhenyang Shen, Liancheng Liu, Zhiyong The State Key Lab of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China The Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai China Beijing Institute of Spacecraft System Engineering China Academy of Space Technology Beijing China
Achieving precise robotic assembly is paramount for safety and performance in industrial settings. Conventional assembly methods require tedious manual adjustment of many parameters, and it is challenging to meet the ... 详细信息
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Parallel Learning Based Foundation Model for Networked Traffic Signal Control
Parallel Learning Based Foundation Model for Networked Traff...
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International Conference on Intelligent Transportation
作者: Chen Zhao Xingyuan Dai Yuanyuan Chen Yilun Lin Yisheng Lv Fei-Yue Wang School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Shanghai AI Laboratory Shanghai China Macao Institute of Systems Engineering Macau University of Science and Technology Macao China
Networked Traffic Signal Control (NTSC) is a fundamental component of Intelligent Transportation systems (ITS) and the broader vision of smart city development. While a plethora of intelligent strategies have been dev...
来源: 评论
Tightly-Coupled Visual-DVL Fusion For Accurate Localization of Underwater Robots
Tightly-Coupled Visual-DVL Fusion For Accurate Localization ...
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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)
作者: Yupei Huang Peng Li Shuaizheng Yan Yaming Ou Zhengxing Wu Min Tan Junzhi Yu Laboratory of Cognitive and Decision Intelligence for Complex System Institute of Automation Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Department of Mechanics and Engineering Science State Key Laboratory for Turbulence and Complex Systems BIC-ESAT College of Engineering Peking University Beijing China
This paper proposes a tightly-coupled visual-Doppler-Velocity-Log (visual-DVL) fusion method for underwater robot localization through integrating the velocity measurements from a DVL into a visual odometry (VO). Cons...
来源: 评论
BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation
arXiv
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arXiv 2024年
作者: He, Yuhong Zhang, Yongqi He, Shizhu Wan, Jun Macau University of Science and Technology China 4Paradigm Inc. Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China The Lab of Cognition and Decision Intelligence for Complex Systems CASIA China MAIS Institute of Automation Chinese Academy of Sciences Beijing China Zhongkai University of Agriculture and Engineering Guangzhou China
Medical dialogue generation (MDG) has gained increasing attention due to its substantial practical value. Previous works typically employ a sequence-to-sequence framework to generate medical responses by modeling dial... 详细信息
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Learning to Manipulate Tools Using Deep Reinforcement Learning and Anchor Information
Learning to Manipulate Tools Using Deep Reinforcement Learni...
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2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022
作者: Wei, Junhang Cui, Shaowei Hao, Peng Wang, Shuo The School of Future Technology University of Chinese Academy of Sciences Beijing100049 China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The University of Chinese Academy of Sciences Beijing100049 China The Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China
Endowing robots with tool manipulation skills helps them accomplish challenging tasks. While robots manipulate tools to achieve goals, the alignment of tools and targets is a noise-sensitive and contact-rich task. How... 详细信息
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How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?
arXiv
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arXiv 2024年
作者: Chen, Yuxin Ma, Zongyang Zhang, Ziqi Qi, Zhongang Yuan, Chunfeng Li, Bing Pu, Junfu Shan, Ying Qi, Xiaojuan Hu, Weiming State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences China ARC Lab Tencent PCG China School of Artificial Intelligence University of Chinese Academy of Sciences China School of Information Science and Technology ShanghaiTech University China The University of Hong Kong Hong Kong
Dominant dual-encoder models enable efficient image-text retrieval but suffer from limited accuracy, while the cross-encoder models offer higher accuracy at the expense of efficiency. Distilling cross-modality matchin... 详细信息
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GPIO Based Iterative Learning Control for Manipulators with Time-Varying Disturbances
GPIO Based Iterative Learning Control for Manipulators with ...
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Chinese Control Conference (CCC)
作者: Huangyuwei Lu Zuo Wang Jiankun Sun Xi Xiao Shihua Li School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex systems of Engineering Ministry of Education Nanjing China Shenzhen Research Institute Southeast University Shenzhen China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing China
To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators, a composite iterative learning control (ILC) scheme via generalized proportional integral observer (GPIO) is proposed. A h...
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Temporal-difference spatial sampling and aggregating graph neural network for crowd flow forecasting  1
Temporal-difference spatial sampling and aggregating graph n...
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1st IEEE International Conference on Digital Twins and Parallel intelligence, DTPI 2021
作者: Bu, Xiaojie Wei, Zebing Li, Zhishuai Wang, Xiao Chen, Yuanyuan Song, Yunquan Lv, Yisheng College of Science China University of Petroleum Qingdao China Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Institute of Automation Chinese Academy of Sciences Beijing China Institute of Automation Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing China Qingdao Academy of Intelligent Industries Qingdao China College of Science China University of Petroleum Qingdao China Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing China
With the development of traffic demand management, crowd flow forecasting arouse increasing interest. In order to tackle this spatial-temporal prediction problem, GNN (Graph Neural Networks) have been recently employe... 详细信息
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A Novel YJQR-LSTM Model for Nonparametric Probabilistic Sustainable Agriculture Wind Power Forecasting Based on Intelligent IoT
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IEEE Internet of Things Journal 2024年
作者: Wang, Jie Jiang, Junhui Chen, Xinlong Cai, Defu Wu, Yue Lu, Renzhi School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Harbin Engineering University College of Computer Science and Technology Harbin150001 China State Grid Hubei Electric Power Research Institute Hubei Wuhan430079 China School of Technology State Key Laboratory of Efficient Production of Forest Resources Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation Beijing Forestry University Beijing100083 China Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing400065 China State Key Laboratory of Mechanical Transmission for Advanced Equipment Chongqing University Chongqing400044 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China
Energy costs associated with the consumption of non-renewable energy sources have become an important issue in improving the international competitiveness of agriculture. Wind power, as a renewable energy source, can ... 详细信息
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