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检索条件"机构=Robotics and Automation Laboratory. Department of Electrical Computer and Systems Engineering"
965 条 记 录,以下是501-510 订阅
排序:
Recent advances on the energy management of a Hybrid Electric vehicle
Recent advances on the energy management of a Hybrid Electri...
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2012 20th Mediterranean Conference on Control and automation, MED 2012
作者: Efstathiou, D.S. Petrou, A.K. Spanoudakis, P. Tsourveloudis, N.C. Valavanis, K.P. Intelligent Systems and Robotics Lab Technical University of Crete Chania Greece Machine Tools Laboratory Technical University of Crete Chania Greece Department of Electrical and Computer Engineering University of Denver Denver CO 80208 United States
This paper presents new innovative subsystems of the ER11 prototype urban vehicle which is powered by hydrogen fuel cells and ultra-capacitors. The subsystems described here are: 1) the energy management system, which... 详细信息
来源: 评论
E2LP: A Unified Embedded engineering Learning Platform
E2LP: A Unified Embedded Engineering Learning Platform
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Euromicro Symposium on Digital System Design
作者: Miodrag Temerinac Ivan Kastelan Karolj Skala Branka Medved Rogina Leonhard Reindl Florent Souvestre Margarita Anastassova Roman Szewczyk Jan Piwinski Jorge R. Lopez Benito Enara Artetxe Gonzalez Nikola Teslic Vlado Sruk Moshe Barak Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia Rudjer Boskovic Institute Zagreb Croatia Department of Microsystems Engineering University of Freiburg Freiburg Germany LIST Sensory and Ambient Interfaces Laboratory CEA Gif-sur-Yvette France Industrial Research Institute for Automation and Measurements Warsaw Poland CreativiTIC INNOVA S.L. Logrono Spain RT-RK Institute for Computer Based Systems LLC Novi Sad Serbia Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Ben-Gurion University of the Negev Beersheba Israel
The main idea behind this project is to provide a unified platform which will cover a complete process for embedded systems learning. A modular approach is considered for skills practice through supporting individuali... 详细信息
来源: 评论
Network structure and efficiency of observational social learning
Network structure and efficiency of observational social lea...
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IEEE Conference on Decision and Control
作者: Pooya Molavi Ali Jadbabaie Department of Electrical and Systems Engineering and General Robotics Automation Sensing and Perception (GRASP) Laboratory University of Pennsylvania Philadelphia PA USA
This paper explores the relationship between the structure of a network of agents and how efficiently they can learn a common unknown parameter. Agents repeatedly make private observations which are possibly informati... 详细信息
来源: 评论
A hierarchical neural network architecture for classification
A hierarchical neural network architecture for classificatio...
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9th International Symposium on Neural Networks, ISNN 2012
作者: Wang, Jing He, Haibo Cao, Yuan Xu, Jin Zhao, Dongbin Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston RI 02881 United States MathWorks Inc. Natick MA 01760 United States Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ 07030 United States State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China
In this paper, a hierarchical neural network with cascading architecture is proposed and its application to classification is analyzed. This cascading architecture consists of multiple levels of neural network structu... 详细信息
来源: 评论
Object recognition using saliency maps and HTM learning
Object recognition using saliency maps and HTM learning
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2012 IEEE International Conference on Imaging systems and Techniques, IST 2012
作者: Kostavelis, Ioannis Nalpantidis, Lazaros Gasteratos, Antonios Laboratory of Robotics and Automation Department of Production and Management Engineering Democritus University of Thrace Vas. Sofias 12 GR-67100 Xanthi Greece Computer Vision and Active Perception Lab. Centre for Autonomous Systems Royal Institute of Technology - KTH SE-100 44 Stockholm Sweden
In this paper a pattern classification and object recognition approach based on bio-inspired techniques is presented. It exploits the Hierarchical Temporal Memory (HTM) topology, which imitates human neocortex for rec... 详细信息
来源: 评论
Adaptive control for a cable driven robot arm
Adaptive control for a cable driven robot arm
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2012 9th IEEE International Conference on Mechatronics and automation, ICMA 2012
作者: Ma, Jianjun Li, Yanan Ge, Shuzhi Sam Social Robotics Laboratory Interactive Digital Media Institute National University of Singapore Singapore 119077 Singapore Department of Automatic Control College of Mechatronics and Automation National University of Defense Technology Changsha 410073 China NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119613 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Robotics Institute School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China
The cable-driven mechanism is usually used in robotic systems for the efficient transmission of forces or torques from actuators to the end-effector. However, the control design is challenging for these systems due to... 详细信息
来源: 评论
Stochastic search strategies in 2D using agents with limited perception
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IFAC Proceedings Volumes 2012年 第22期45卷 650-654页
作者: David Puljiz Maja Varga Stjepan Bogdan University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering LARICS–Laboratory for Robotics and Intelligent Control Systems Zagreb Croatia Laboratory of Intelligent Systems Ecole Polytechnique Federale de Lausanne 1015 Lausanne Switzerland
Animals use stochastic search strategies to find a potential nest or to localize the food source. Animals do not rely much on the environmental cues or their sensory inputs. Since their cognitive capabilities are rath...
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Modified Iterative-Learning-Control-Based Ramp Metering Strategies for Freeway Traffic Control With Iteration-Dependent Factors
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IEEE Transactions on Intelligent Transportation systems 2012年 第2期13卷 606-618页
作者: Zhongsheng Hou Jingwen Yan Jian-Xin Xu Zhenjiang Li Advanced Control Systems Laboratory of School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Department of Electrical and Computer Engineering National University of Singapore Singapore Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China
For a freeway traffic system with strict repeatable pattern, iterative learning control (ILC) has been successfully applied to local ramp metering for a macroscopic freeway environment by formulating the original ramp... 详细信息
来源: 评论
Resource-distortion modeling for video streaming over mesh networks with priority-based packet scheduling
Resource-distortion modeling for video streaming over mesh n...
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2012 13th IEEE International Conference on Multimedia and Expo, ICME 2012
作者: Zhang, Yongfei Zhang, Yunsheng Qin, Shiyin He, Zhihai Beijing Key Lab. of Digital Media School of Computer Science and Engineering Beihang University Beijing 100191 China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing 100191 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Graduate School at Shenzhen Tsinghua University Shenzhen 518055 China Department of Electrical and Computer Engineering University of Missouri Columbia MO 65211 United States
Video streaming over mesh networks operates under stringent network resource constraints, with a large number of video sessions competing for limited network resources. In this work, we aim to establish so-called reso... 详细信息
来源: 评论
Object recognition using saliency maps and HTM learning
Object recognition using saliency maps and HTM learning
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IEEE International Workshop on Imaging systems and Techniques (IST)
作者: Ioannis Kostavelis Lazaros Nalpantidis Antonios Gasteratos Laboratory of Robotics and Automation Department of Production and Management Engineering Democritus University of Thrace Xanthi Greece Computer Vision and Active Perception Laboratory Centre for Autonomous Systems Royal Institute of Technology Stockholm Sweden
In this paper a pattern classification and object recognition approach based on bio-inspired techniques is presented. It exploits the Hierarchical Temporal Memory (HTM) topology, which imitates human neocortex for rec... 详细信息
来源: 评论