About: Motion Planning of Self-reconfigurable Modular Robots Using Rapidly Exploring Random Trees

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Motion planning of self-reconfigurable robots in an environment is a challenging task. In this paper, we propose a sampling-based motion planning approach to plan locomotion of an organism with many degrees of freedom. The proposed approach is based on the Rapidly Exploring Random tree algorithm, which uses physical simulation to explore the configuration space of the highly articulated robots. Due to large number of actuators in such organisms, a novel randomized strategy for generating input signals is proposed. We demonstrate the performance of the proposed planner on a set of complex robots moving on a plane as well as on a rough surface. Motion planning of self-reconfigurable robots in an environment is a challenging task. In this paper, we propose a sampling-based motion planning approach to plan locomotion of an organism with many degrees of freedom. The proposed approach is based on the Rapidly Exploring Random tree algorithm, which uses physical simulation to explore the configuration space of the highly articulated robots. Due to large number of actuators in such organisms, a novel randomized strategy for generating input signals is proposed. We demonstrate the performance of the proposed planner on a set of complex robots moving on a plane as well as on a rough surface. (en)
Title	Motion Planning of Self-reconfigurable Modular Robots Using Rapidly Exploring Random Trees Motion Planning of Self-reconfigurable Modular Robots Using Rapidly Exploring Random Trees (en)
skos:prefLabel	Motion Planning of Self-reconfigurable Modular Robots Using Rapidly Exploring Random Trees Motion Planning of Self-reconfigurable Modular Robots Using Rapidly Exploring Random Trees (en)
skos:notation	RIV/68407700:21230/12:00194431!RIV13-MSM-21230___
http://linked.open...avai/predkladatel	Fakulta elektrotechnická
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(7E11017), S
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Přeučil, Libor Vonásek, Vojtěch Košnar, Karel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	151903
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/12:00194431
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Motion Llanning; Modular Robots; Rapidly Exploring Random Trees; RRT (en)
http://linked.open.../riv/klicoveSlovo	RRT Modular Robots Motion Llanning Rapidly Exploring Random Trees
http://linked.open...ontrolniKodProRIV	[B99EE7381648]
http://linked.open...v/mistoKonaniAkce	Bristol
http://linked.open...i/riv/mistoVydani	Dordrecht
http://linked.open...i/riv/nazevZdroje	Joint Proceedings of the 13th Annual TAROS Conference and the 15th Annual FIRA RoboWorld Congress
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Symbiotic Evolutionary Robot Organisms
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Košnar, Karel Přeučil, Libor Vonásek, Vojtěch
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-08-20 (xsd:date)
issn	0302-9743
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-32526-7
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Motion Planning of Self-reconfigurable Modular Robots Using Rapidly Exploring Random Trees

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