Crowding and guiding groups of humans by teams of mobile robots

Edgar A. Martínez-García, Ohya Akihisa, Shin'ichi Yuta

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

15 Citations (Scopus)

Abstract

This article introduces a general description of a multi-robot system (MRS) architecture aimed to provide guidance for a group of humans. At a first approach, only the strategy and architecture framework are described, further than the ethological and human factors involved in human-robot interaction. The paper encompasses a special strategy to conduct and crowd multiple people. Such strategy includes a methodology to localize multi-human; a MRS architecture design; and a control for people trajectory and a robots motion planner. A key-problem in the implementation of the system is that, there is no signal of any type for accomplishing guidance. In addition, some experimental and simulation results are presented, which exhibits the effectiveness of the proposed architecture, and the social force model adapted in a manner to simulate behavior of groups of people.

Original languageEnglish
Title of host publication2005 IEEE Workshop on Advanced Robotics and its Social Impacts
Pages91-96
Number of pages6
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 IEEE Workshop on Advanced Robotics and its Social Impacts - Nagoya, Japan
Duration: 2005 Jun 122005 Jun 15

Publication series

Name2005 IEEE Workshop on Advanced Robotics and its Social Impacts
Volume2005

Conference

Conference2005 IEEE Workshop on Advanced Robotics and its Social Impacts
CountryJapan
CityNagoya
Period05/6/1205/6/15

Keywords

  • Guiding simulation
  • Guiding-tours
  • Motion planning
  • Multi-robot systems
  • Trajectory control

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Martínez-García, E. A., Akihisa, O., & Yuta, S. (2005). Crowding and guiding groups of humans by teams of mobile robots. In 2005 IEEE Workshop on Advanced Robotics and its Social Impacts (pp. 91-96). [1511629] (2005 IEEE Workshop on Advanced Robotics and its Social Impacts; Vol. 2005). https://doi.org/10.1109/ARSO.2005.1511629