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Building rich and grounded robot world models from sensors and knowledge resources: A conceptual spaces approach

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Author

Summary, in English

Robots interacting with other agents in rich information landscapes and complex dynamic physical environments require sophisticated and robust concept and knowledge management capabilities if they are to solve problems, communicate, learn and exhibit intelligent behaviours. In this paper we describe how conceptual spaces provide a powerful substrate upon which to build effective concept and knowledge management capabilities that integrate information from multiple sensory and symbolic sources. We use SONY AIBO robots and the robot soccer domain to illustrate our framework and approach. The conceptual spaces framework allows robots to build rich and grounded world models from a wide variety of internal and external knowledge resources, e.g. sensors, ontologies, databases, knowledge bases, the semantic Web, Web services, and other agents. Conceptual spaces provide an important and effective bridge between the perceptual level and the symbolic level by grounding sensory information to objects

Department/s

Publishing year

2003

Language

English

Pages

123-132

Publication/Series

Proceedings of AMIRE 2003

Document type

Conference paper

Publisher

Queensland University of Technology

Topic

  • Learning
  • General Language Studies and Linguistics

Keywords

  • robot soccer domain
  • knowledge management
  • knowledge resources
  • SONY AIBO robots

Conference name

AMiRE'03: 2nd International Symposium on Autonomous Minirobots for Research and Edutainment

Conference date

2003-02-18 - 2003-02-20

Conference place

Brisbane, Qld., Australia

Status

Published

ISBN/ISSN/Other

  • ISBN: 1-7410-7012-0