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An Ontology-Based Symbol Grounding System for Human-Robot Interaction
TRACLabs Inc., USA.
TRACLabs Inc., USA.
TRACLabs Inc., USA.
Örebro University, School of Science and Technology, Örebro University, Sweden. (AASS)
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2014 (English)In: Artificial Intelligence for Human-Robot Interaction: 2014 AAAI Fall Symposium, AAAI Press, 2014Conference paper, (Refereed)
Abstract [en]

This paper presents an ongoing collaboration to develop a perceptual anchoring framework which creates and maintains the symbol-percept links concerning household objects. The paper presents an approach to non-trivialize the symbol system using ontologies and allow for HRI via enabling queries about objects properties, their affordances, and their perceptual characteristics as viewed from the robot (e.g. last seen). This position paper describes in brief the objective of creating a long term perceptual anchoring framework for HRI and outlines the preliminary work done this far.

Place, publisher, year, edition, pages
AAAI Press, 2014.
National Category
Robotics
Research subject
Computer Science; Human-Computer Interaction
Identifiers
URN: urn:nbn:se:oru:diva-39627OAI: oai:DiVA.org:oru-39627DiVA: diva2:771313
Conference
2014 AAAI Fall Symposium series, Washington, USA, November 13-15, 2014
Funder
Swedish Research Council
Available from: 2014-12-12 Created: 2014-12-12 Last updated: 2015-09-03Bibliographically approved

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http://www.aaai.org/ocs/index.php/FSS/FSS14/paper/view/9143

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Persson, AndreasLoutfi, Amy
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