Journal Title
Title of Journal: Int J Control Autom Syst
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Abbravation: International Journal of Control, Automation and Systems
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Publisher
Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
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Authors: Peng Wang QiBin Zhang ZongHai Chen
Publish Date: 2015/05/23
Volume: 13, Issue: 4, Pages: 978-985
Abstract
A novel algorithm for the position estimation of a mobile robot is proposed which is based on probability statistics and grey system theory For the proposed algorithm the grey probability measure set is established which is composed of a base set and the corresponding grey probability measure The base set is used to represent the uncertain information and the grey probability measure distributes probability on the base set Moreover the integrating rules are formulated using the grey probability measure set and the qsatisfied rule to estimate the position of a mobile robot In addition to providing a new way of representing the uncertain information results of the proposed algorithm are also more reliable in the presence of error and outliers The algorithm is applied in the position estimation of a Pioneer 3DX robot in a corridoroffice environment Experimental results have shown that the estimation accuracy of the algorithm is as good as that of the particle filter and better than that of the extended Kalman filterPeng Wang received his BS degree from the University of Science and Technology of China USTC in 2010 He is now a PhD candidate at the Laboratory of Simulation and Intelligent Control in the Department of Automation USTC His research interests include system modeling and simulation mobile robot localization uncertain information processing and knowledge representationQiBin Zhang received his BS degree from the University of Science and Technology of China USTC in 2012 He is now a PhD candidate at the Laboratory of Simulation and Intelligent Control in the Department of Automation USTC His research interests include mobile robot localization and landmark extraction knowledge representation and interval analysisZongHai Chen received his BS degree from the University of Science and Technology of China USTC in 1988 He is currently a professor at the Laboratory of Simulation and Intelligent Control in the Department of Automation USTC His research interests include simulation and optimization control of complex system theory and technology of intelligent system and quantum control theory Prof Chen is now a member of the Robotics Technical Committee of the International Federation of Automatic Control IFAC
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