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  • In this paper, we deal with mobile robot path planning in two-dimensional continuous space in which known static polygonal obstacles are defined. The aim of the path planning is finding a path from a start to a goal position without collisions with known obstacles minimizing an evaluation function. We investigate the possibilities of using genetic algorithms for solving this problem and describe various problem-specific genetic operators and fitness functions. We study also the ability of the proposed algorithm to adapt a previous solution to changes of start and/or goal positions and changes in the environment. Results of computational experiments are presented.
  • In this paper, we deal with mobile robot path planning in two-dimensional continuous space in which known static polygonal obstacles are defined. The aim of the path planning is finding a path from a start to a goal position without collisions with known obstacles minimizing an evaluation function. We investigate the possibilities of using genetic algorithms for solving this problem and describe various problem-specific genetic operators and fitness functions. We study also the ability of the proposed algorithm to adapt a previous solution to changes of start and/or goal positions and changes in the environment. Results of computational experiments are presented. (en)
Title
  • Using Genetic Algorithms for Mobile Robot Path Planning
  • Using Genetic Algorithms for Mobile Robot Path Planning (en)
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  • Using Genetic Algorithms for Mobile Robot Path Planning
  • Using Genetic Algorithms for Mobile Robot Path Planning (en)
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  • RIV/00216305:26210/08:PU77712!RIV10-MSM-26210___
http://linked.open...avai/riv/aktivita
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  • Z(MSM0021630529)
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  • 401849
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  • RIV/00216305:26210/08:PU77712
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  • mobile robot, path planning, genetic algorithms (en)
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  • [F04A6826DDCE]
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  • Brno University of Technology
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  • Brno
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  • Proceedings of the 14th International Conference on Soft Computing MENDEL 2008
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  • Dvořák, Jiří
  • Krček, Petr
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  • Vysoké učení technické v Brně. Fakulta strojního inženýrství
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  • 978-80-214-3675-6
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  • 26210
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