Mobile robot navigation for human-robot social interaction

Pakpoom Patompak, Sungmoon Jeong, Nak Young Chong, Itthisek Nilkhamhang

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

15 Scopus citations

Abstract

Human social interactions are believed to be described by a mathematical model called the Social Force Model (SFM). A variety of mobile robot research has often used the SFM to generate an appropriate navigation behavior. However, to create a mobile robot that moves around in a human-populated environment in a socially acceptable way, it should be stressed that the social conventions are strictly obeyed. This paper proposes an extended SFM between humans and robots, called the Social Relationship Model (SRM), to enable mobile robots to generate navigation paths in a human-like manner. Simulation results show notable advantages of SRM over the Transition based Rapidly Random Tree (T-RRT) path planning algorithm. The proposed method ensures a socially acceptable robot path, one of the most important issues for human-robot symbiosis.

Original languageEnglish
Title of host publicationICCAS 2016 - 2016 16th International Conference on Control, Automation and Systems, Proceedings
PublisherIEEE Computer Society
Pages1298-1303
Number of pages6
ISBN (Electronic)9788993215120
DOIs
StatePublished - 24 Jan 2016
Event16th International Conference on Control, Automation and Systems, ICCAS 2016 - Gyeongju, Korea, Republic of
Duration: 16 Oct 201619 Oct 2016

Publication series

NameInternational Conference on Control, Automation and Systems
Volume0
ISSN (Print)1598-7833

Conference

Conference16th International Conference on Control, Automation and Systems, ICCAS 2016
Country/TerritoryKorea, Republic of
CityGyeongju
Period16/10/1619/10/16

Keywords

  • Human-Robot Symbiosis
  • Mobile Robot Navigation
  • Social Force Model
  • Social Relationship Model

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