OBOC: Ontology Based Object Categorisation for Robots

Mendoza, R; Johnston, BG; Yang, F; Huang, Z; Chen, X; Williams, M

OBOC: Ontology Based Object Categorisation for Robots

Mendoza, R Johnston, BG Yang, F Huang, Z Chen, X Williams, M

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Publisher:: Massey University Press
Publication Type:: Conference Proceeding
Citation:: The Fourth International Conference on Computational Intelligence, Robotics and Autonomous Systems, 2007, pp. 178 - 183
Issue Date:: 2007-01

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Field	Value	Language
dc.contributor.author	Mendoza, R	en_US
dc.contributor.author	Johnston, BG	en_US
dc.contributor.author	Yang, F	en_US
dc.contributor.author	Huang, Z	en_US
dc.contributor.author	Chen, X	en_US
dc.contributor.author	Williams, M https://orcid.org/0000-0002-1047-0503	en_US
dc.contributor.editor	Mukhopadhyay, S	en_US
dc.contributor.editor	Messom, C	en_US
dc.contributor.editor	De Silva, L	en_US
dc.contributor.editor	Sen Gupta, G	en_US
dc.date	2007-11-28	en_US
dc.date.issued	2007-01	en_US
dc.identifier.citation	The Fourth International Conference on Computational Intelligence, Robotics and Autonomous Systems, 2007, pp. 178 - 183	en_US
dc.identifier.isbn	978-0-473-12433-5	en_US
dc.identifier.uri	http://hdl.handle.net/10453/6817
dc.description.abstract	Meaningfully managing the relationship between representations and the entities they represent remains a challenge in robotics known as grounding. Useful insights can be found by approaching robotic systems development specifically with the grounding and symbol grounding problem in mind. In particular, Semantic Web technologies turn out to be not merely applicable to web-based software agents, but can also provide a powerful extension to existing proposals for grounded robotic systems development. Given the interoperability and openness of the Semantic Web, such technologies can increase the ability for a robot to introspect, communicate and be inspected - benefits that ultimately lead to more grounded systems with open-ended intelligent behaviour.	en_US
dc.publisher	Massey University Press	en_US
dc.relation.ispartof	The Fourth International Conference on Computational Intelligence, Robotics and Autonomous Systems	en_US
dc.relation.ispartof	International Conference on Computational Intelligence, Robotics and Autonomous Systems	en_US
dc.title	OBOC: Ontology Based Object Categorisation for Robots	en_US
dc.type	Conference Proceeding
utslib.location	Palmerston North, New Zealand	en_US
utslib.location.activity	Palmerston North, New Zealand	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
dc.location.activity	Palmerston North, New Zealand	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Palmerston North, New Zealand	en_US
pubs.start-date	2007-11-28	en_US

Abstract:

Meaningfully managing the relationship between representations and the entities they represent remains a challenge in robotics known as grounding. Useful insights can be found by approaching robotic systems development specifically with the grounding and symbol grounding problem in mind. In particular, Semantic Web technologies turn out to be not merely applicable to web-based software agents, but can also provide a powerful extension to existing proposals for grounded robotic systems development. Given the interoperability and openness of the Semantic Web, such technologies can increase the ability for a robot to introspect, communicate and be inspected - benefits that ultimately lead to more grounded systems with open-ended intelligent behaviour.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/6817