Grounded representation driven robot motion design

Trieu, M; Williams, MA

Grounded representation driven robot motion design

Trieu, M Williams, MA

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, 5001 LNAI pp. 520 - 527
Issue Date:: 2008-09-01

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Field	Value	Language
dc.contributor.author	Trieu, M	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2008-09-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, 5001 LNAI pp. 520 - 527	en_US
dc.identifier.isbn	3540688463	en_US
dc.identifier.isbn	9783540688464	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11449
dc.description.abstract	Grounding robot representations is an important problem in Artificial Intelligence. In this paper we show how a new grounding framework guided the development of an improved locomotion engine [3] for the AIBO. The improvements stemmed from higher quality representations that were grounded better than those in the previous system [1]. Since the AIBO is more grounded under the new locomotion engine it makes better decisions and achieves its design goals more efficiently. Furthermore, a well grounded robot offers significant software engineering benefits since its behaviours can be developed, debugged and tested more effectively. © 2008 Springer-Verlag Berlin Heidelberg.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-540-68847-1_56	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Grounded representation driven robot motion design	en_US
dc.type	Conference Proceeding
utslib.citation.volume	5001 LNAI	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Atlanta, GA	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	closed_access
pubs.publication-status	Published	en_US
pubs.volume	5001 LNAI	en_US

Abstract:

Grounding robot representations is an important problem in Artificial Intelligence. In this paper we show how a new grounding framework guided the development of an improved locomotion engine [3] for the AIBO. The improvements stemmed from higher quality representations that were grounded better than those in the previous system [1]. Since the AIBO is more grounded under the new locomotion engine it makes better decisions and achieves its design goals more efficiently. Furthermore, a well grounded robot offers significant software engineering benefits since its behaviours can be developed, debugged and tested more effectively. © 2008 Springer-Verlag Berlin Heidelberg.

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http://hdl.handle.net/10453/11449