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[citace_text] => ŠEDA, M. Application of Fuzzy Logic to Automatic Control. In Březina, T. (ed.): Simulation Modelling of Mechatronics Systems III. Mechatronika. Brno: Brno University of Technology, FME, 2007. p. 15-26. ISBN: 978-80-214-3559-9.
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[popis_en] => This chapter deals with an application of fuzzy logic in control. It defines the concepts of the fuzzy set theory necessary for setting and aggregating the rules of a knowledge base. It shows that fuzzy control can be applied if the mathematical description of the system under control is not available or if the system is strongly nonlinear and hardly controllable by the classical methods.
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[citace_text] => ŠEDA, M. Solving the Integer Maximal Multicommodity Flow Problem Using Simulated Annealing. In Katalinic, B. (ed.): DAAAM International Scientific Book 2004. DAAAM International Scientific Book. DAAAM International Scientific Book 2004. Wien: DAAAM International Wien, 2004. 10 p. ISBN: 3-901509-38-0. ISSN: 1726-9687.
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[nazev_en] => Simultaneous Localization and Mapping via Scan Matching
[popis_en] => This issue presents method of Potential-based Scan Matching solves two issues at once. First the correct location of the robot is found, secondly the local map is constructed. The method does not require any odometry data. However, when such data are present, it could be used as a starting point for the minimization of the match function, thus reducing the search time and helping to avoid misleading search in the parameters distant to the minimum.
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[popis] => In robot motion planning the robot should pass around the obstacles, from a given starting position to a given target position, touching none of them, i.e. the goal is to find a collision-free path from the starting to the target position. This task has many specific formulations depending on the shape of obstacles, allowable directions of movements, knowledge of the scene, etc. Research on path planning has yielded many fundamentally different approaches to its solution that can be classified as roadmap methods (visibility graph method, Voronoi diagram) and methods based on cell decomposition. In this work, an approach based on Voronoi diagrams is proposed, considering point, straight line and polygonal obstacles in a completely known scene.
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[citace_text] => ŠEDA, M. Computational Geometry-Based Approach to Robot Motion Planning. In Březina, T. (ed.): Simulation Modelling of Mechatronics Systems I. I. Brno: Brno University of Technology, FME, 2005. 11 p. ISBN: 80-214-3144-X.
[citace_html] => ŠEDA, M. Computational Geometry-Based Approach to Robot Motion Planning. In Březina, T. (ed.): Simulation Modelling of Mechatronics Systems I. I. Brno: Brno University of Technology, FME, 2005. 11 p. ISBN: 80-214-3144-X.
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author="Miloš {Šeda}",
title="Computational Geometry-Based Approach to Robot Motion Planning",
booktitle="Březina, T. (ed.): Simulation Modelling of Mechatronics Systems I",
year="2005",
publisher="Brno University of Technology, FME",
address="Brno",
series="I",
pages="11",
isbn="80-214-3144-X"
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