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检索条件"机构=The Key Laboratory of Machine Intelligence and System Control"
659 条 记 录,以下是471-480 订阅
排序:
Formal modeling and performance evaluation for hybrid systems: A probabilistic hybrid process algebra-based approach
arXiv
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arXiv 2020年
作者: Wang, Fujun J. Cao, Zining Tan, Lixing Li, Zhen College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Key Laboratory of Safety-Critical Software Nanjing University of Aeronautics and Astronautics Ministry of Industry and Information Technology Nanjing China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing University of Aeronautics and Astronautics Nanjing China Science and Technology on Electro-optic Control Laboratory Luoyang China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing China
Probabilistic behavior is omnipresent in computer controlled systems, in particular, so-called safety-critical hybrid systems, because of various reasons, like uncertain environments, or fundamental properties of natu... 详细信息
来源: 评论
A Human-Robot Skill Transfer Framework of Mobile Medical Robots for Autonomous Motion with Teaching by Demonstration
A Human-Robot Skill Transfer Framework of Mobile Medical Rob...
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International Conference on Advanced Robotics and Mechatronics (ICARM)
作者: Jiehao Li Junzheng Wang Shoukun Wang Hui Peng Qi Wen Longbin Zhang Meina Lin Politecnico di Milano Milan Italy State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China College of Intelligence Science and Technology National University of Defense Technology Changsha China BioMEx Center KTH Mechanics KTH Royal Institute of Technology Stockholm Sweden Guangdong Key Laboratory of IoT Information Technology Guangdong University of Technology Guangzhou China
The accuracy of autonomous motion is the main challenge for mobile medical robots, especially running in narrow space conditions to transport the casualties in the hospital. This article mainly centers on the human-ro... 详细信息
来源: 评论
Data-Driven Parametric Design of Additively Manufactured Hybrid Lattice Structure for Stiffness and Wide-Band Damping Performance
Additive Manufacturing Frontiers
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Additive Manufacturing Frontiers 2025年
作者: Chenyang Li Shangqin Yuan Han Zhang Shaoying Li Xinyue Li Jihong Zhu State IJR Center of Aerospace Design and Additive Manufacturing School of Mechanical Engineering Northwestern Polytechnical University Xi'an 710072 China Key Laboratory of Metal High-Performance Additive Manufacturing and Innovative Design MIIT China Northwestern Polytechnical University Xi'an 710072 China Institute of Intelligence Material and Structure Unmanned System Research Institute Northwestern Polytechnical University Xi'an 710072 China Aircraft Strength Research Institute of China Xi'an 710065 China Modern Control Technology Research Institute Xi'an 710065 China
The outstanding comprehensive mechanical properties of newly developed hybrid lattice structures make them useful in engineering applications for bearing multiple mechanical loads. Additive-manufacturing technologies ... 详细信息
来源: 评论
Learning Stable control for a Wheeled Inverted Pendulum with Fast Adaptive Neural Network
Learning Stable Control for a Wheeled Inverted Pendulum with...
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IEEE International Conference on Real-time Computing and Robotics (RCAR)
作者: Yuanzhe Peng Yongsheng Ou Wei Feng Chinese Academy of Sciences (CAS) Shenzhen Institutes of Advanced Technology (SIAT) Shenzhen China University of Chinese Academy of Sciences Beijing China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen China
Since it is difficult to work out a complete and accurate analytical model for some complex nonlinear dynamical systems, we mainly propose a method for learning stable control with fast adaptive neural network. Furthe... 详细信息
来源: 评论
Relevance attack on detectors
arXiv
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arXiv 2020年
作者: Chen, Sizhe He, Fan Huang, Xiaolin Zhang, Kun Department of Automation The Institute of Medical Robotics The MOE Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China Philosophy Department and Machine Learning Department Carnegie Mellon University 5000 Forbes Ave PittsburghPA15213 United States
This paper focuses on high-transferable adversarial attacks on detectors, which are hard to attack in a black-box manner, because of their multiple-output characteristics and the diversity across architectures. To pur... 详细信息
来源: 评论
Random Occlusion Recovery with Noise Channel for Person Re-identification  16th
Random Occlusion Recovery with Noise Channel for Person Re-i...
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16th International Conference on Intelligent Computing, ICIC 2020
作者: Zhang, Kun Wu, Di Yuan, Changan Qin, Xiao Wu, Hongjie Zhao, Xingming Zhang, Lijun Du, Yuchuan Wang, Hanli Institute of Machine Learning and Systems Biology School of Electronics and Information Engineering Tongji University Shanghai China Guangxi Academy of Science Nanning530025 China School of Computer and Information Engineering Nanning Normal University Nanning530299 China School of Computer Science and Technology Soochow University Suzhou215006 China School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou215009 China Fudan University Shanghai200433 China Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Ministry of Education Shanghai China Collaborative Innovation Center of Intelligent New Energy Vehicle and School of Automotive Studies Tongji University Shanghai201804 China The Key Laboratory of Road and Traffic Engineering of the Ministry of Education Department of Transportation Engineering Tongji University Shanghai201804 China Department of Computer Science and Technology the Key Laboratory of Embedded System and Service Computing and Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China
Person re-identification, as the basic task of a multi-camera surveillance system, plays an important role in a variety of surveillance applications. However, the current mainstream person re-identification model base... 详细信息
来源: 评论
Visual SLAM based on geometric cluster matching
Visual SLAM based on geometric cluster matching
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2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019
作者: Tian, Chaoran Ou, Yongsheng Qu, Yangyang Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China University OfChinese Academy of Sciences Beijing100049 China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes OfAdvanced Technology Chinese Academy OfSciences Shenzhen518055 China CAS Key Laboratory of Human-Machine Intelligence Synergic Systems Shenzhen Institutes of Advanced Technology Shenzhen518055 China
The approach of feature-based visual SLAM is very popular in Micro Aerial Vehicle (MAV) navigation and wheeled mobile robot (WMR) navigation. Most modern feature-based visual SLAM frameworks extract a fixed number of ... 详细信息
来源: 评论
A scalable system to synthesize data for natural scene text localization and recognition
A scalable system to synthesize data for natural scene text ...
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2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019
作者: Wu, Qingtian Chen, Peng Zhou, Yimin Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Guangdong Provincial Engineering and Technology Research Center of Intelligent Unmanned System and Autonomous Environmental Perception China CAS Key Laboratory of Human-Machine-Intelligence Synergic Systems Shenzhen Institutes of Advanced Technology China School of Information Engineering Nanchang University 330038 China
In this paper, a scalable system is proposed to synthesize data for multilingual text (Chinese and English) detection and recognition in cluttered conditions. The system can be realized by these following steps. First... 详细信息
来源: 评论
Binocular depth estimation using convolutional neural network with siamese branches
Binocular depth estimation using convolutional neural networ...
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2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019
作者: Liu, Guodong Jiang, Guolai Xiong, Rong Ou, Yongsheng Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology Shenzhen518055 China University of Chinese Academy of Sciences Beijing100049 China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China CAS Key Laboratory of Human-Machine Intelligence-Synergic Systems Shenzhen Institutes of Advanced Technology Shenzhen518055 China
Binocular depth estimation is a hot research topic in computer vision. Traditional methods need high precision camera calibration and key point matching, but the results are not ideal. In this paper, we introduce an a... 详细信息
来源: 评论
An Obstacles Avoidance Algorithm Based on Improved Artificial Potential Field
An Obstacles Avoidance Algorithm Based on Improved Artificia...
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IEEE International Conference on Mechatronics and Automation
作者: Si Xi Lu En Li Rui Guo School of Artificial Intelligence University of Chinese Academy of Sciences No.19(A) Yuquan Road Beijing China The State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Science 95 East ZhongGuanCun Road Beijing China State Grid Shandong Electric Power Company Jinan China
Obstacle avoidance is one of the most important issue in the motion planning and control of robot. There are many algorithms to avoid obstacles, but obstacle avoidance algorithm for manipulator is needed consider not ... 详细信息
来源: 评论