License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.COSIT.2017.3
URN: urn:nbn:de:0030-drops-77628
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7762/
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Falomir, Zoe ; Angulo, Cecilio

A Qualitative Spatial Descriptor of Group-Robot Interactions

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LIPIcs-COSIT-2017-3.pdf (2 MB)

Abstract

The problem of finding a suitable qualitative representation for robots to reason about activity spaces where they carry out tasks such as leading or interacting with a group of people is tackled in this paper. For that, a Qualitative Spatial model for Group Robot Interaction (QS-GRI) is proposed to define Kendon’s F-formations [Kendon, 2010] depending on: (i) the relative location of the robot with respect to other individuals involved in that interaction; (ii) the individuals’ orientation; (iii) the shared peri-personal distance; and (iv) the role of the individuals (observer, main character or interactive). An iconic representation is provided and Kendon’s formations are defined logically. The conceptual neighborhood of the evolution of Kendon formations is studied, that is, how one formation is transformed into another. These transformations can depend on the role that the robot have, and on the amount of people involved.

BibTeX - Entry

@InProceedings{falomir_et_al:LIPIcs:2017:7762,
  author =	{Zoe Falomir and Cecilio Angulo},
  title =	{{A Qualitative Spatial Descriptor of Group-Robot Interactions}},
  booktitle =	{13th International Conference on Spatial Information Theory (COSIT 2017)},
  pages =	{3:1--3:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-043-9},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{86},
  editor =	{Eliseo Clementini and Maureen Donnelly and May Yuan and Christian Kray and Paolo Fogliaroni and Andrea Ballatore},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7762},
  URN =		{urn:nbn:de:0030-drops-77628},
  doi =		{10.4230/LIPIcs.COSIT.2017.3},
  annote =	{Keywords: qualitative modeling, spatial reasoning, location, distance, orientation, cognitive robotics, human-robot interaction, group-robot interaction, logics}
}

Keywords: qualitative modeling, spatial reasoning, location, distance, orientation, cognitive robotics, human-robot interaction, group-robot interaction, logics
Collection: 13th International Conference on Spatial Information Theory (COSIT 2017)
Issue Date: 2017
Date of publication: 29.08.2017

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