Recognition of people's positioning by cooperative mobile robots for human groups steering

Edgar Martinez, Akihisa Ohya, Shin'ichi Yuta

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

2 Citations (Scopus)

Abstract

In this research we attempt to build a multi cooperative mobile robot system able to perform the process of steering people in indoors. When a target-group is integrated by several persons, steering task is more difficult to accomplish, specially when only a robot is intended to be used. Since that, the problem can be overcomed if we consider that a cooperative mobile robot system's performance is higher for steering multiple humans than only one, and will greatly improve the performance of the tasks. In this paper, we detail a novel method for multiple human localization which has been developed by using multi homogeneous mobile robots, equipped with trinocular stereo vision. As a first step of this research the method includes spatial noise data filtering, multi sensor data fusion and clustering based segmentation. In addition, some experimental results are shown to verify the feasibility of the method.

Original languageEnglish
Title of host publicationProceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
Subtitle of host publicationComputational Intelligence in Robotics and Automation for the New Millennium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages758-763
Number of pages6
ISBN (Electronic)0780378660
DOIs
Publication statusPublished - 2003 Jan 1
Event2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan
Duration: 2003 Jul 162003 Jul 20

Publication series

NameProceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
Volume2

Other

Other2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
Country/TerritoryJapan
CityKobe
Period03/7/1603/7/20

ASJC Scopus subject areas

  • Computational Mathematics

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