Task-Driven Evolution of Modular Self-Reconfigurable Robots

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00221352" target="_blank" >RIV/68407700:21230/14:00221352 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-08864-8_23#page-1" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-08864-8_23#page-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-08864-8_23" target="_blank" >10.1007/978-3-319-08864-8_23</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Task-Driven Evolution of Modular Self-Reconfigurable Robots

Popis výsledku v původním jazyce

In future space missions, versatile, robust, autonomous and adaptive robotic systems will be required to perform complex tasks. This can be realized using modular robots with the ability to reconfigure to various structures, which allows them to adapt tothe environment as well as to a given task. As it is not possible to program beforehand the robots to cope with every possible situation, they will have to adapt autonomously. In this paper, we introduce a novel framework which allows modular robots toadapt physically (i.e., to change the structure) as well as internally (i.e. to learn the behavior) to achieve high-level tasks (e.g. ?climb-up the cliff?). The framework utilizes evolutionary methods for structure adaptation as well as to find a suitable behavior. The main idea of the framework is the utilization of simple motion skills combined by a motion planner to achieve the high-level task. This allows to achieve complex task easily without need to optimize complex behaviors of th

Název v anglickém jazyce

Task-Driven Evolution of Modular Self-Reconfigurable Robots

Popis výsledku anglicky

In future space missions, versatile, robust, autonomous and adaptive robotic systems will be required to perform complex tasks. This can be realized using modular robots with the ability to reconfigure to various structures, which allows them to adapt tothe environment as well as to a given task. As it is not possible to program beforehand the robots to cope with every possible situation, they will have to adapt autonomously. In this paper, we introduce a novel framework which allows modular robots toadapt physically (i.e., to change the structure) as well as internally (i.e. to learn the behavior) to achieve high-level tasks (e.g. ?climb-up the cliff?). The framework utilizes evolutionary methods for structure adaptation as well as to find a suitable behavior. The main idea of the framework is the utilization of simple motion skills combined by a motion planner to achieve the high-level task. This allows to achieve complex task easily without need to optimize complex behaviors of th

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/7AMB14DE007" target="_blank" >7AMB14DE007: Multi-robotické systémy v komplexním prostředí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

From Animals to Animats 13

ISBN

978-3-319-08863-1

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

10

Strana od-do

240-249

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Castellón

Datum konání akce

22. 7. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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