Informative Planning for Worst-Case Error Minimisation in Sparse Gaussian Process Regression

Wakulicz, J Lee, KMB Yoo, C Vidal Calleja, T Fitch, R

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Field	Value	Language
dc.contributor.author	Wakulicz, J
dc.contributor.author	Lee, KMB
dc.contributor.author	Yoo, C
dc.contributor.author	Vidal Calleja, T
dc.contributor.author	Fitch, R
dc.date	2022-05-23
dc.date.accessioned	2022-02-07T09:02:39Z
dc.date.available	2022-02-07T09:02:39Z
dc.date.issued	2022-01-01
dc.identifier.citation	2022
dc.identifier.uri	http://hdl.handle.net/10453/154254
dc.language	en
dc.relation.ispartof	IEEE International Conference on Robotics and Automation
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Informative Planning for Worst-Case Error Minimisation in Sparse Gaussian Process Regression
dc.type	Conference Proceeding
utslib.location.activity	Philadelphia
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 Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2024-01-01T00:00:00+1000Z
dc.date.updated	2022-02-07T09:02:37Z
pubs.finish-date	2022-05-27
pubs.publication-status	Accepted
pubs.start-date	2022-05-23

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