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[citace_text] => KLAPKA, J. Počátky výzkumu matematických strojů na našem území. In Kybernetika a společnost na prahu XXI. století. 1. VUT v Brně, Česká společnost pro kybernetiku a informatiku: VUT v Brně, Ústav automatizace a Informatiky, 2005. s. 65-69. ISBN: 80-214-3058-3.
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[nazev_en] => Origins of the Research of Mathematical Machines in Czech Republic.
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[nazev] => Using Genetic Algorithms for Mobile Robot Path Planning
[nazev_orig] => Using Genetic Algorithms for Mobile Robot Path Planning
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[popis] => 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.
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[klicova_slova] => mobile robot; path planning; genetic algorithms
[klicova_slova_orig] => mobile robot; path planning; genetic algorithms
[url] =>
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[citace_text] => DVOŘÁK, J.; KRČEK, P. Using Genetic Algorithms for Mobile Robot Path Planning. In Proceedings of the 14th International Conference on Soft Computing MENDEL 2008. Brno: FME BUT, 2008. p. 32-37. ISBN: 978-80-214-3675-6.
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[nazev_en] => Using Genetic Algorithms for Mobile Robot Path Planning
[popis_en] => 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.
[klicova_slova_en] => mobile robot; path planning; genetic algorithms
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(
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[duvernost_udaju_id] => S
[popis] => This paper describes a Parallel Grammatical Evolution (PGE) that can evolve complete circuits using a variable length linear genome to govern the mapping of a Backus Naur Form grammar definition. To increase the efficiency of Grammatical Evolution (GE) the influence of backward processing was tested and an influence of several fitness functions.
[popis_orig] => This paper describes a Parallel Grammatical Evolution (PGE) that can evolve complete circuits using a variable length linear genome to govern the mapping of a Backus Naur Form grammar definition. To increase the efficiency of Grammatical Evolution (GE) the influence of backward processing was tested and an influence of several fitness functions.
[klicova_slova] => Grammatical Evolution, PGA
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[url] =>
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[citace_text] => OŠMERA, P.; MATOUŠEK, R.; POPELKA, O.; PANÁČEK, T. Parallel Grammatical Optimization. In MENDEL 2009. MENDEL. Brno: BUT, 2009. p. 101-108. ISBN: 978-80-214-3884-2.
[citace_html] => OŠMERA, P.; MATOUŠEK, R.; POPELKA, O.; PANÁČEK, T. Parallel Grammatical Optimization. In MENDEL 2009. MENDEL. Brno: BUT, 2009. p. 101-108. ISBN: 978-80-214-3884-2.
[citace_rtf] =>
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title="Parallel Grammatical Optimization",
booktitle="MENDEL 2009",
year="2009",
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number="1",
pages="101--108",
publisher="BUT",
address="Brno",
isbn="978-80-214-3884-2"
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[nazev_en] => Parallel Grammatical Optimization
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[klicova_slova_en] => Grammatical Evolution, PGA
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(
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[nazev] => Path planning for nonholonomic robots
[nazev_orig] => Path planning for nonholonomic robots
[duvernost_udaju_id] => S
[popis] => In this paper, we deal with nonholonomic mobile robot path planning in a two-dimensional continuous space in which known static polygonal obstacles are defined. This problem involves finding a collision-free path from a start to a goal position, satisfying kinematic constraints and minimizing an evaluation function. The proposed approach consists of finding a path for a holonomic robot by means of a genetic algorithm and subsequent adapting this path to nonholonomic constraints by using a modified A* algorithm. We compare this approach with other methods for path planning of nonholonomic robots.
[popis_orig] => In this paper, we deal with nonholonomic mobile robot path planning in a two-dimensional continuous space in which known static polygonal obstacles are defined. This problem involves finding a collision-free path from a start to a goal position, satisfying kinematic constraints and minimizing an evaluation function. The proposed approach consists of finding a path for a holonomic robot by means of a genetic algorithm and subsequent adapting this path to nonholonomic constraints by using a modified A* algorithm. We compare this approach with other methods for path planning of nonholonomic robots.
[klicova_slova] => mobile robot; nonholonomic constraints; path planning; genetic algorithms; graph search algorithms; rapidly-exploring random trees
[klicova_slova_orig] => mobile robot; nonholonomic constraints; path planning; genetic algorithms; graph search algorithms; rapidly-exploring random trees
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[upd_ts] => 2025-09-22
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[identifikator] => ISBN 978-80-214-3884-2
[identifikator_popis] => ISBN - Mendel 2009. 15th International Conference on Soft Computing
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[citace_text] => DVOŘÁK, J.; KRČEK, P. Path planning for nonholonomic robots. In Mendel 2009. 15th International Conference on Soft Computing. Brno: Brno University of Technology, 2009. p. 336-343. ISBN: 978-80-214-3884-2.
[citace_html] => DVOŘÁK, J.; KRČEK, P. Path planning for nonholonomic robots. In Mendel 2009. 15th International Conference on Soft Computing. Brno: Brno University of Technology, 2009. p. 336-343. ISBN: 978-80-214-3884-2.
[citace_rtf] =>
[citace_bibtex] => @inproceedings{BUT33524,
author="Jiří {Dvořák} and Petr {Krček}",
title="Path planning for nonholonomic robots",
booktitle="Mendel 2009. 15th International Conference on Soft Computing",
year="2009",
pages="336--343",
publisher="Brno University of Technology",
address="Brno",
isbn="978-80-214-3884-2"
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[poznamka_metriky] =>
[nazev_en] => Path planning for nonholonomic robots
[popis_en] => In this paper, we deal with nonholonomic mobile robot path planning in a two-dimensional continuous space in which known static polygonal obstacles are defined. This problem involves finding a collision-free path from a start to a goal position, satisfying kinematic constraints and minimizing an evaluation function. The proposed approach consists of finding a path for a holonomic robot by means of a genetic algorithm and subsequent adapting this path to nonholonomic constraints by using a modified A* algorithm. We compare this approach with other methods for path planning of nonholonomic robots.
[klicova_slova_en] => mobile robot; nonholonomic constraints; path planning; genetic algorithms; graph search algorithms; rapidly-exploring random trees
[vysledek_datum] => 2009-06-17T00:00:00+02:00
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(
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[nazev] => Elimination of self excited oscillations via changes in the thickness of chips.
[nazev_orig] => Elimination of self excited oscillations via changes in the thickness of chips.
[duvernost_udaju_id] => S
[popis] => This paper deals with the possibility of elimination of self-excited oscillations by changing the
thickness of chips. These oscillations occur between the tool and machining area during the
cutting process without any outer influence. This results into degradation of the machined
surface, the geometric accuracy and the noise.
A model of cutting process (Eq 1,2) is constructed using the theory of regenerative principle.
The model is used to derive analytical formulas for gains of two simple controllers (Fig 2)
which control a piezoelectric compensator of the cutting force. The compensator changes the
position of cutting tool against the machined surface. This changes the thickness of chips.
[popis_orig] => This paper deals with the possibility of elimination of self-excited oscillations by changing the
thickness of chips. These oscillations occur between the tool and machining area during the
cutting process without any outer influence. This results into degradation of the machined
surface, the geometric accuracy and the noise.
A model of cutting process (Eq 1,2) is constructed using the theory of regenerative principle.
The model is used to derive analytical formulas for gains of two simple controllers (Fig 2)
which control a piezoelectric compensator of the cutting force. The compensator changes the
position of cutting tool against the machined surface. This changes the thickness of chips.
[klicova_slova] => self-excited oscillations, regenerative principle, vibration compensation
[klicova_slova_orig] => self-excited oscillations, regenerative principle, vibration compensation
[url] =>
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[vycet_osob] => BŘEZINA, T.; VETIŠKA, J.
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[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISBN 978-9955-28-493-2
[identifikator_popis] => ISBN - The 5th International Conference Mechatronic Systems and Materials MSM- 2009
[riv_dodavka_id] => 98
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[citace_text] => BŘEZINA, T.; VETIŠKA, J. Elimination of self excited oscillations via changes in the thickness of chips. In The 5th International Conference Mechatronic Systems and Materials MSM- 2009. 1. Vilnius: Vilnius Gediminas Technical University, 2009. p. 124-126. ISBN: 978-9955-28-493-2.
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cutting process without any outer influence. This results into degradation of the machined
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A model of cutting process (Eq 1,2) is constructed using the theory of regenerative principle.
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[quotations] => POLIŠČUK, R.
[title] => Measurement of Lubrication Parameters Based on Image Processing of Chromatic Interferograms
[typ] => PV
[year] => 2009
[id_vav] => 31408
)
[1] => Array
(
[quotations] => DAVIDOVÁ, O.
[title] => Contribution to digital controller design by using of algebraic methods
[typ] => PV
[year] => 2008
[id_vav] => 31604
)
[2] => Array
(
[quotations] => VĚCHET, S.; KREJSA, J.
[title] => Sensors Data Fusion via Bayesian Network
[typ] => PV
[year] => 2009
[id_vav] => 31617
)
[3] => Array
(
[quotations] => KLAPKA, J.
[title] => Počátky výzkumu matematických strojů na našem území
[typ] => PV
[year] => 2005
[id_vav] => 32039
)
[4] => Array
(
[quotations] => ZUTH, D.
[title] => Intelligent Sensory Control of Mobile Robots
[typ] => PV
[year] => 2009
[id_vav] => 32549
)
[5] => Array
(
[quotations] => HOUŠKA, P.; BŘEZINA, T.; BŘEZINA, L.
[title] => Design and implementation of the absolute linear position sensor for the Stewart platform
[typ] => PV
[year] => 2009
[id_vav] => 32751
)
[6] => Array
(
[quotations] => BŘEZINA, T.; BŘEZINA, L.
[title] => Controller design of the Stewart platform linear actuator
[typ] => PV
[year] => 2009
[id_vav] => 32984
)
[7] => Array
(
[quotations] => DVOŘÁK, J.; KRČEK, P.
[title] => Using Genetic Algorithms for Mobile Robot Path Planning
[typ] => PV
[year] => 2008
[id_vav] => 33207
)
[8] => Array
(
[quotations] => OŠMERA, P.; MATOUŠEK, R.; POPELKA, O.; PANÁČEK, T.
[title] => Parallel Grammatical Optimization
[typ] => PV
[year] => 2009
[id_vav] => 33420
)
[9] => Array
(
[quotations] => DVOŘÁK, J.; KRČEK, P.
[title] => Path planning for nonholonomic robots
[typ] => PV
[year] => 2009
[id_vav] => 33524
)
[10] => Array
(
[quotations] => BŘEZINA, T.; VETIŠKA, J.
[title] => Elimination of self excited oscillations via changes in the thickness of chips.
[typ] => PV
[year] => 2009
[id_vav] => 33818
)
[11] => Array
(
[quotations] => HERŮDEK, V.; DVOŘÁK, J.; GRULICH, M.
[title] => Optimalizace výrobních dávek v podmínkách neurčitosti.
[typ] => PV
[year] => 2008
[id_vav] => 33827
)
[12] => Array
(
[quotations] => POPELA, P.; MATOUŠEK, R.; SKLENÁŘ, J.; ŽAMPACHOVÁ, E.
[title] => The Internal Objects for Optimization Programs
[typ] => PV
[year] => 2009
[id_vav] => 34098
)
[13] => Array
(
[quotations] => POPELA, P.; MATOUŠEK, R.; SKLENÁŘ, J.
[title] => The Formal Framework for DOP
[typ] => PV
[year] => 2008
[id_vav] => 34219
)
)
)