Reliable navigation planning implementation on a two-wheeled mobile robot

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Abstract

Autonomous mobile robots must be equipped with appropriate planification and control navigation systems in order to obtain robust behaviours. This study aims at dealing with this kind of problems when implementing on a two wheeled mobile robot. The planning navigation system uses our previously proposed reliable and safe navigation planning algorithm based on the incremental sampling-based planning algorithm, e.g., the widely-used Rapidly-exploring Random Tree (RRT), while the control navigation level consists in a go to goal controller strategy. Through experiments, we demonstrate the usefulness of robust navigation planner in an autonomous navigation schemes, where uncertain localization has to be taken into account.

Original languageEnglish
Title of host publicationProceedings - 2nd IEEE International Conference on Robotic Computing, IRC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-174
Number of pages2
ISBN (Electronic)9781538646519
DOIs
Publication statusPublished - 2 Apr 2018
Externally publishedYes
Event2nd IEEE International Conference on Robotic Computing, IRC 2018 - Laguna Hills, United States
Duration: 31 Jan 20182 Feb 2018

Publication series

NameProceedings - 2nd IEEE International Conference on Robotic Computing, IRC 2018
Volume2018-January

Conference

Conference2nd IEEE International Conference on Robotic Computing, IRC 2018
Country/TerritoryUnited States
CityLaguna Hills
Period31/01/182/02/18

Keywords

  • Autonomous navigation
  • Interval analysis
  • Motion planning
  • Navigation planning
  • Validated numerical integration

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