Robot navigation with weak sensors

Noa Agmon, Yehuda Elmaliah, Yaron Mor, Oren Slor

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


The problem of robot navigation is a fundamental problem for every mobile robot: How to make a robot travel from point A to point B on a given map with maximal efficiency. Solving the problem of robot navigation can be trivial if the robot has means to determine its position in the world at any time by using, for example, reliable sensors. However, in some cases localization means are nonexistent (for example the use of a GPS in indoor environments) or costly (for example the use of laser sensors). In these cases, the problem of robot navigation becomes far more complicated, even when a map is given. The main objective of this paper is to determine a quantitative measure for determining the possibility of navigating in indoor environments given a map for a robot without perfect localization, and to find a navigation path that maximizes the chances of arriving at the destination point safely.

Original languageEnglish
Title of host publicationAdvanced Agent Technology - AAMAS 2011 Workshops, AMPLE, AOSE, ARMS, DOCM3AS, ITMAS, Revised Selected Papers
Number of pages5
StatePublished - 2012
Externally publishedYes
EventInternational Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2011 - Taipei, Taiwan, Province of China
Duration: 2 May 20116 May 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7068 LNAI


ConferenceInternational Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2011
Country/TerritoryTaiwan, Province of China

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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