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Collision avoidance for mobile robots with limited sensing and limited information about the environment

  • Stony Brook University
  • TU Wien

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper addresses the problem of safely navigating a mobile robot with limited sensing capability and limited information about stationary obstacles. We consider two sensing limitations: blind spots between sensors and limited sensing range. We identify a set of constraints on the sensors’ readings whose satisfaction at time t guarantees collision-freedom during the time interval [t, t + Δt]. Here, Δt is a parameter whose value is bounded by a function of the maximum velocity of the robot and the range of the sensors. The constraints are obtained under assumptions about minimum internal angle and minimum edge length of polyhedral obstacles. We apply these constraints in the switching logic of the Simplex architecture to obtain a controller that ensures collision-freedom. Experiments we have conducted are consistent with these claims. To the best of our knowledge, our study is the first to provide runtime assurance that an autonomous mobile robot with limited sensing can navigate without collisions with only limited information about obstacles.

Original languageEnglish
Title of host publicationRuntime Verification - 6th International Conference, RV 2015, Proceedings
EditorsEzio Bartocci, Rupak Majumdar
PublisherSpringer Verlag
Pages201-215
Number of pages15
ISBN (Print)9783319238197
DOIs
StatePublished - 2015
Event6th International Conference on Runtime Verification, RV 2015 - Vienna, Austria
Duration: Sep 22 2015Sep 25 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9333
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Runtime Verification, RV 2015
Country/TerritoryAustria
CityVienna
Period09/22/1509/25/15

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