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检索条件"机构=ISR - Institute of Systems and Robotics and the Department of Electrical and Computer Engineering"
722 条 记 录,以下是621-630 订阅
排序:
Adaptive leader-follower formation control and obstacle avoidance via deep reinforcement learning
arXiv
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arXiv 2019年
作者: Zhou, Yanlin Lu, Fan Pu, George Ma, Xiyao Sun, Runhan Chen, Hsi-Yuan Li, Xiaolin Wu, Dapeng National Science Foundation Center for Big Learning Large-scale Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Florida GainesvilleFL United States Department of Mechanical and Aerospace Engineering University of Florida GainesvilleFL United States Amazon Robotics North Reading AI Institute Tongdun Technology
We propose a deep reinforcement learning (DRL) methodology for the tracking, obstacle avoidance, and formation control of nonholonomic robots. By separating vision-based control into a perception module and a controll... 详细信息
来源: 评论
Assessing the effects of time-dependent restrictions and control actions to flatten the curve of COVID-19 in Kazakhstan
arXiv
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arXiv 2020年
作者: Do, Ton Duc Gui, Meei Mei Ng, Kok Yew Department of Robotics and Mechatronics School of Engineering and Digital Sciences Nazarbayev University Nur-Sultan Kazakhstan School of Chemistry and Chemical Engineering Queen's University Belfast Belfast United Kingdom Engineering Research Institute University of Ulster Belfast United Kingdom Electrical and Computer Systems Engineering School of Engineering Monash University Malaysia Bandar Sunway Malaysia
This paper presents the assessment of time-dependent national-level restrictions and control actions and their effects in fighting the COVID-19 pandemic. By analysing the transmission dynamics during the first wave of... 详细信息
来源: 评论
Conjugated Polymer-based Explosives Sensor: Progresses in the Design of a Handheld Device
Conjugated Polymer-based Explosives Sensor: Progresses in th...
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IEEE Sensors
作者: Tiago Neves Lino Marques Liliana Martelo Hugh D. Burrows Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Coimbra Portugal Chemistry Department University of Coimbra Coimbra Portugal
This work addresses the development of a new handheld explosive sensor based on the AFP (Amplified Fluorescent Polymer) Technology. The polymer is the PF2T Ethyl Cellulose, a blue fluorescent polymer whose fluorescenc... 详细信息
来源: 评论
BYTECounter: Improving Vehicle Turning-Movement Counting
BYTECounter: Improving Vehicle Turning-Movement Counting
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International Conference on Intelligent Transportation
作者: Mateus Líbano Monteiro Alexandre Bernardino H. Sofia Pinto Computer Science: Artificial Intelligence and Cybersecurity from Instituto Superior Técnico Universidade de Lisboa Portugal Department of Electrical and Computer Engineering Institute for and Systems and Robotics of Instituto Superior Técnico Universidade de Lisboa Portugal INESC-ID and Department of Computer Science and Artificial Intelligence Instituto Superior Técnico Universidade de Lisboa Portugal
This paper proposes a methodology to enhance the accuracy of vehicle turning-movement counting in video footage. The methodology uses a three-component system comprising object detection, object tracking, and object t...
来源: 评论
Robust Control Design for the Mass-Damper Type Anti-Sway System
Robust Control Design for the Mass-Damper Type Anti-Sway Sys...
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SICE Annual Conference
作者: Young-bok Kim Masao Ikeda Jin-ho Suh Guisheng Zhai Seong-hoon Han Faculty of Mechanical Engineering Pukyong National University Busan South Korea Department of Computer-Controlled Mechanical Systems Osaka University Osaka Japan Pohang Institute of Intelligent Robotics PIRO Pohang South Korea Department of Mechanical Engineering Osaka Prefecture University Osaka Japan Department of Electrical Engineering Graduate School Dong-A University Busan South Korea
In the previous studies, we suggested a new type of swing motion control system for the crane system in which a small auxiliary mass is installed on the spreader. The actuator reacting against the auxiliary mass appli... 详细信息
来源: 评论
Learning data-adaptive non-parametric kernels
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2020年 第1期21卷 8590-8628页
作者: Fanghui Liu Xiaolin Huang Chen Gong Jie Yang Li Li Department of Electrical Engineering ESAT-STADIUS KU Leuven Belgium Institute of Image Processing and Pattern Recognition Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China PCA Lab Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology China and Department of Computing Hong Kong Polytechnic University Hong Kong SAR China Department of Automation BNRist Tsinghua University China
In this paper, we propose a data-adaptive non-parametric kernel learning framework in margin based kernel methods. In model formulation, given an initial kernel matrix, a data-adaptive matrix with two constraints is i... 详细信息
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Rewinding Strategy Aided by FEA as a Solution to Increase Efficiency of Industrial Motors
Rewinding Strategy Aided by FEA as a Solution to Increase Ef...
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International Conference on electrical Machines
作者: V. P. B. Aguiar R. S. T. Pontes T. R. Fernandes Neto F. J. T. E. Ferreira Motor Driven Systems Laboratory Department of Electrical Engineering Federal University of Ceará Fortaleza CE 60440554 Brazil Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Coimbra Portugal
This paper presents a proper model and methodology to improve the efficiency class of a squirrel-cage induction motor during rewinding. The modeling approach is based on the finite element model, i.e. two-dimensional ... 详细信息
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Multispectral Vineyard Segmentation: A Deep Learning Comparison Study
arXiv
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arXiv 2021年
作者: Barros, Tiago Conde, P. Gonçalves, G. Premebida, C. Monteiro, M. Ferreira, C.S.S. Nunes, U.J. University of Coimbra Institute of Systems and Robotics Department of Electrical and Computer Engineering Coimbra Portugal University of Coimbra Institute for Systems Engineering and Computers at Coimbra Department of Mathematics Coimbra Portugal Research Centre for Natural Resources Environment and Society Polytechnic Institute of Coimbra Coimbra Agrarian Technical School Coimbra Portugal Bolin Centre for Climate Research Department of Physical Geography Stockholm University Stockholm Sweden Navarino Environmental Observatory Navarino Dunes Messinia Greece
Digital agriculture has evolved significantly over the last few years due to the technological developments in automation and computational intelligence applied to the agricultural sector, including vineyards which ar... 详细信息
来源: 评论
DECOMPOSITION OF INDUSTRIAL systems FOR ENERGY EFFICIENCY OPTIMIZATION WITH OPTTOPO
arXiv
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arXiv 2022年
作者: Thiele, Gregor Johanni, Theresa Sommer, David Krüger, Jörg Department for Process Automation and Robotics Fraunhofer Institute for Production Systems and Design Technology IPK Germany Faculty of Electrical Engineering and Computer Science Technical University of Berlin Berlin Germany Weierstrass Institute for Applied Analysis and Stochastics Berlin Germany Institute for Machine Tools and Factory Management Technical University of Berlin Berlin Germany
The operation of industrial facilities is a broad field for optimization. Industrial plants are often a) composed of several components, b) linked using network technology, c) physically interconnected and d) complex ... 详细信息
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Automatic face region tracking for highly accurate face recognition in unconstrained environments
Automatic face region tracking for highly accurate face reco...
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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)
作者: Y.-O. Kim J. Paik Jingu Heo A. Koschan B. Abidi M. Abidi Korea Electronics and Technology Institute Puchon Gyeonggi South Korea Image Processing Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville USA
We present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. High-resolution face images are very important to achieving accurate identifi... 详细信息
来源: 评论