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检索条件"机构=Institute for Automation Control and Computer Science"
836 条 记 录,以下是101-110 订阅
排序:
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion
AdvDiffuser: Generating Adversarial Safety-Critical Driving ...
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Yuting Xie Xianda Guo Cong Wang Kunhua Liu Long Chen School of Computer Science and Engineering Sun Yat-Sen University School of Computer Science Wuhan University State Key Laboratory for Management and Control of Complex Systems at the Institute of Automation Chinese Academy of Sciences School of Mechanical and Automotive Engineering Qingdao University of Technology
Safety-critical scenarios are infrequent in natural driving environments but hold significant importance for the training and testing of autonomous driving systems. The prevailing approach involves generating safety-c... 详细信息
来源: 评论
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World
arXiv
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arXiv 2022年
作者: Rudorfer, Martin Suchi, Markus Sridharan, Mohan Vincze, Markus Leonardis, Aleš The School of Computer Science The University of Birmingham United Kingdom The Automation and Control Institute TU Wien Austria
This paper presents BURG-Toolkit, a set of open-source tools for Benchmarking and Understanding Robotic Grasping. Our tools allow researchers to: (1) create virtual scenes for generating training data and performing g... 详细信息
来源: 评论
Human-Robot Pose Tracking Based on CNN with Color and Geometry Aggregation  16th
Human-Robot Pose Tracking Based on CNN with Color and Geo...
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16th International Conference on Social Robotics, ICSR + InnoBiz 2024
作者: Xu, Yue Zhang, Yinlong Liu, Shuai Liu, Yuanhao Liang, Wei He, Hongsheng Shenyang University of Technology Shenyang110020 China Guangzhou Institute of Industrial Intelligence Guangzhou511458 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Department of Computer Science The University of Alabama TuscaloosaAL35487 United States
Accurately tracking the robotic arm and human joints is crucial to ensure safety during human-robot interaction. However, traditional pose tracking methods often exhibit insufficient performance and robustness in comp... 详细信息
来源: 评论
Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems:Tackling Multiplicative Noises and Missing Measurements
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IEEE/CAA Journal of Automatica Sinica 2024年 第5期11卷 1127-1138页
作者: Shaoying Wang Zidong Wang Hongli Dong Yun Chen Guoping Lu College of Science Shandong University of AeronauticsBinzhou 256603China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590 Department of Computer Science Brunel University LondonUxbridge UB83PHUK Artificial Intelligence Energy Research Institute Northeast Petroleum UniversityDaqing 163318 Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum UniversityDaqing 163318China School of Automation Hangzhou Dianzi UniversityHangzhou 310018China School of Electrical Engineering Nantong UniversityNantong 226019China
This paper focuses on the quadratic nonfragile filtering problem for linear non-Gaussian systems under multiplicative noises,multiple missing measurements as well as the dynamic event-triggered transmission *** multip... 详细信息
来源: 评论
High-precision Calibration of Camera and IMU on Manipulator for Bio-inspired Robotic System
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Journal of Bionic Engineering 2022年 第2期19卷 299-313页
作者: Yinlong Zhang Wei Liang Sichao Zhang Xudong Yuan Xiaofang Xia Jindong Tan Zhibo Pang State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyang 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China The School of Computer Science and Technology Xidian UniversityXi’an 710071China Department of Mechanical Aerospace and Biomedical EngineeringUniversity of TennesseeKonxville 37996USA Department of Automation Technology ABB Corporate Research Sweden72178 VästerasSweden
Inspired by box jellyfish that has distributed and complementary perceptive system,we seek to equip manipulator with a camera and an Inertial Measurement Unit(IMU)to perceive ego motion and surrounding unstructured **... 详细信息
来源: 评论
A One Stage Non-motorized Vehicle Detection Network
A One Stage Non-motorized Vehicle Detection Network
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2022 International Conference on Cyber-Physical Social Intelligence, ICCSI 2022
作者: Fu, Xiaofeng Yuan, Xia Ye, Jialin Bo, Yuming School of Automation Nanjing University of Sicence and Technology Nanjing China Chengdu Southwest Information Control Research Institute Co. Ltd Chendu China School of Computer Science and Engineering Nanjing University of Sicence and Technology Nanjing China
With the growth of non-motorized vehicles, low-carbon and environmentally friendly travel has gradually become the mainstream of people all over the world. The wide distribution and small proportion of non-motorized v... 详细信息
来源: 评论
On the Complexity of Computing the Maximal Positive Invariant Set
On the Complexity of Computing the Maximal Positive Invarian...
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European control Conference (ECC)
作者: Bogdan Gheorghe Florin Stoican Ionela Prodan Faculty of Automation Control and Computer Science National University of Science and Technology Politehnica Bucharest Romania Grenoble INP LCIS Univ. Grenoble Alpes Institute of Engineering and Management Univ. Grenoble Alpes Valence France
Computing the maximal (robust) positive invari-ant (M(R)PI) set for linear dynamics and a polyhedral constraint set is well-known in the literature but, the effects and limitations of the different methods employed ar... 详细信息
来源: 评论
Sampled-Data Iterative Learning control for Linear Parabolic Distributed Parameter Systems with Event-Triggered Strategy
Sampled-Data Iterative Learning Control for Linear Parabolic...
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Complex Systems and Intelligent science (CSIS-IAC), International Annual Conference on
作者: Jun He Xisheng Dai Rusheng Zhou School of Automation Guangxi University of Science and Technology Institute of Intelligent Systems and Control Guangxi University of Science and Technology Liuzhou China School of Computer Science and Technology Guangxi University of Science and Technology Liuzhou China
This paper focuses on the output trajectory tracking problem for linear parabolic distributed parameter systems (DPSs) using sampled-data iterative learning control (ILC) approach. In addition, in order to reduce the ...
来源: 评论
Protein-Folding Inspired Programmable control System for Robot Swarms
Protein-Folding Inspired Programmable Control System for Rob...
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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024
作者: Zhang, Feng Gu, Yuping Wang, Zebin Yuan, Shuai Yang, Yongliang School of Electrical and Control Engineering Shenyang Jianzhu University Liaoning Shenyang110168 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Liaoning Shenyang110106 China School of Computer Science and Engineering Shenyang Jianzhu University Liaoning Shenyang110168 China
In swarm robotics, most of the control algorithms are inspired by the behaviors of animal swarms. The capability gap between robots and animals, however, hinders the reliability of these algorithms. Toward developing ... 详细信息
来源: 评论
Shifting Spotlight for Co-supervision: A Simple yet Efficient Single-branch Network to See Through Camouflage
arXiv
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arXiv 2024年
作者: Hu, Yang Zhang, Jinxia Zhang, Kaihua Yuan, Yin Huang, Jiale Zhan, Zechao Wang, Xin Key Laboratory of Measurement and Control of CSE School of Automation Southeast University China School of Computer Science Nanjing University of Information Science and Technology China Advanced Ocean Institute of Southeast University China Alibaba Group China
Camouflaged object detection (COD) remains a challenging task in computer vision. Existing methods often resort to additional branches for edge supervision, incurring substantial computational costs. To address this, ... 详细信息
来源: 评论