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  • In this paper we introduce the concept of Adaptive Traversability (AT), which we define as means of autonomous motion control adapting the robot morphology config uration of articulated parts and their compliances to traverse unknown complex terrain wit h obstacles in an optimal way. We verify this concept by proposing a reinforcement learnin g based AT algorithm for mobile robots operating in such conditions. We demonstrate the fu nctionality by training the AT algorithm under lab conditions on simple EUR-pallet obstacl es and then testing it successfully on natural obstacles in a forest. For quantitative eva luation we define a metrics based on comparison with expert operator. Exploiting the propo sed AT algorithm significantly decreases the cognitive load of the operator.
  • In this paper we introduce the concept of Adaptive Traversability (AT), which we define as means of autonomous motion control adapting the robot morphology config uration of articulated parts and their compliances to traverse unknown complex terrain wit h obstacles in an optimal way. We verify this concept by proposing a reinforcement learnin g based AT algorithm for mobile robots operating in such conditions. We demonstrate the fu nctionality by training the AT algorithm under lab conditions on simple EUR-pallet obstacl es and then testing it successfully on natural obstacles in a forest. For quantitative eva luation we define a metrics based on comparison with expert operator. Exploiting the propo sed AT algorithm significantly decreases the cognitive load of the operator. (en)
Title
  • Adaptive Traversability of Unknown Complex Terrain with Obstacles for Mobile Robots
  • Adaptive Traversability of Unknown Complex Terrain with Obstacles for Mobile Robots (en)
skos:prefLabel
  • Adaptive Traversability of Unknown Complex Terrain with Obstacles for Mobile Robots
  • Adaptive Traversability of Unknown Complex Terrain with Obstacles for Mobile Robots (en)
skos:notation
  • RIV/68407700:21230/14:00218859!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA14-13876S), P(TE01020197), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 1609
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00218859
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Search and Rescue Robots; Climbing robots; Learning and Adaptive Systems (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [35F76EC515E4]
http://linked.open...v/mistoKonaniAkce
  • Hong Kong
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • ICRA2014: Proceedings of 2014 IEEE International Conference on Robotics and Automation
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hlaváč, Václav
  • Zimmermann, Karel
  • Reinštein, Michal
  • Zuzánek, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4799-3684-7
http://localhost/t...ganizacniJednotka
  • 21230
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