Abstract
We propose a multiple omnidirectional vision system with three omnidirectional cameras and its calculation method for the measurement of the object position and the self-localization in RoboCup soccer robots. On the identification of the self-position, we try to improve the accuracy of the measurement by correcting the absolute position based on the measurement error of landmarks in the origin of the absolute coordinate. Furthermore, we propose the omnidirectional behavior control method for collision avoidance and object chasing motion by using fuzzy reasoning in an autonomous mobile robot with MOVIS. In this paper, we also report some experimental results to confirm the efficiency of the proposed method by using a soccer robot in dynamic environment.
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Maeda, Y., Shimizuhira, W. (2005). Omnidirectional Adaptive Behavior Control for Autonomous Mobile Robot. In: Torra, V., Narukawa, Y., Miyamoto, S. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2005. Lecture Notes in Computer Science(), vol 3558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526018_25
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DOI: https://doi.org/10.1007/11526018_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27871-9
Online ISBN: 978-3-540-31883-5
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