Evolutionary computation for intelligent self-localization in multiple mobile robots based on SLAM

Yuichiro Toda, Shintaro Suzuki, Naoyuki Kubota

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The localization is one of the most important capabilities for mobile robots. However, other robots can be considered as unknown objects when a mobile robot performs localization, because other robots can enter the sensing range of a mobile robot. Therefore, we propose a method of intelligent selflocalization using evolutionary computation for multiple mobile robots based on simultaneous localization and mapping (SLAM). First, we explain the method of SLAM using occupancy grid mapping by a single mobile robot. Next, we propose an intelligent self-localization method using multi-resolution map and evolutionary computation based on relative position of other robots in the sensing range. The experimental results show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings
Pages229-239
Number of pages11
EditionPART 1
DOIs
Publication statusPublished - Dec 1 2012
Externally publishedYes
Event5th International Conference on Intelligent Robotics and Applications, ICIRA 2012 - Montreal, QC, Canada
Duration: Oct 3 2012Oct 5 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7506 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Intelligent Robotics and Applications, ICIRA 2012
CountryCanada
CityMontreal, QC
Period10/3/1210/5/12

Keywords

  • Intelligent robotics
  • Multi-robot
  • SLAM

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Toda, Y., Suzuki, S., & Kubota, N. (2012). Evolutionary computation for intelligent self-localization in multiple mobile robots based on SLAM. In Intelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings (PART 1 ed., pp. 229-239). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7506 LNAI, No. PART 1). https://doi.org/10.1007/978-3-642-33509-9_22