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  • In this paper, a novel sampling schema for Rapidly Exploring Random Trees (RRT) is proposed to address the narrow passage issue. The introduced method employs a guiding path to steer the tree growth towards a given goal. The main idea of the proposed approach stands in a preference of the sampling of the configuration space C along a given guiding path instead of sampling of the whole space. While for a low-dimensional C the guiding path can be found as a geometric path in the robot workspace, such a path does not provide useful information for efficient sampling of a high-dimensional C. We propose an iterative scaling approach to find a guiding path in such high-dimensional configuration spaces. The approach starts with a scaled geometric model of the robot to a fraction of its original size for which a guiding path is found using the RRT algorithm. Then, such a path is iteratively used in the proposed RRT-Path algorithm for a larger robot up to its original size
  • In this paper, a novel sampling schema for Rapidly Exploring Random Trees (RRT) is proposed to address the narrow passage issue. The introduced method employs a guiding path to steer the tree growth towards a given goal. The main idea of the proposed approach stands in a preference of the sampling of the configuration space C along a given guiding path instead of sampling of the whole space. While for a low-dimensional C the guiding path can be found as a geometric path in the robot workspace, such a path does not provide useful information for efficient sampling of a high-dimensional C. We propose an iterative scaling approach to find a guiding path in such high-dimensional configuration spaces. The approach starts with a scaled geometric model of the robot to a fraction of its original size for which a guiding path is found using the RRT algorithm. Then, such a path is iteratively used in the proposed RRT-Path algorithm for a larger robot up to its original size (en)
Title
  • A Sampling Schema for Rapidly Exploring Random Trees Using a Guiding Path
  • A Sampling Schema for Rapidly Exploring Random Trees Using a Guiding Path (en)
skos:prefLabel
  • A Sampling Schema for Rapidly Exploring Random Trees Using a Guiding Path
  • A Sampling Schema for Rapidly Exploring Random Trees Using a Guiding Path (en)
skos:notation
  • RIV/68407700:21230/11:00182177!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), P(7E08006), 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
  • 184125
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/11:00182177
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Motion planning; rapidly exploring random trees (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BEE552B72482]
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
  • Faigl, Jan
  • Krajník, Tomáš
  • Přeučil, Libor
  • Vonásek, Vojtěch
http://localhost/t...ganizacniJednotka
  • 21230
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