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Description
  • 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 to the 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 to adapt 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 the robot.
  • 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 to the 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 to adapt 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 the robot. (en)
Title
  • Task-Driven Evolution of Modular Self-Reconfigurable Robots
  • Task-Driven Evolution of Modular Self-Reconfigurable Robots (en)
skos:prefLabel
  • Task-Driven Evolution of Modular Self-Reconfigurable Robots
  • Task-Driven Evolution of Modular Self-Reconfigurable Robots (en)
skos:notation
  • RIV/68407700:21230/14:00221352!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7AMB14DE007)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 49325
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00221352
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Modular Robotics; Motion Planning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [36DB89BA5868]
http://linked.open...v/mistoKonaniAkce
  • Castellón
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • From Animals to Animats 13
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Košnar, Karel
  • Přeučil, Libor
  • Vonásek, Vojtěch
  • Winkler, L.
  • Neumann, S.
  • Woern, H.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-319-08864-8_23
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-319-08863-1
http://localhost/t...ganizacniJednotka
  • 21230
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