Nearest neighbour exploration with backtracking for robotic exploration of complex 3D environments

Quin, P; Paul, G; Liu, D; Alempijevic, A

Nearest neighbour exploration with backtracking for robotic exploration of complex 3D environments

Quin, P

Paul, G

Liu, D

Alempijevic, A

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Publication Type:: Conference Proceeding
Citation:: Australasian Conference on Robotics and Automation, ACRA, 2013
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Quin, P https://orcid.org/0000-0001-6542-3459	en_US
dc.contributor.author	Paul, G https://orcid.org/0000-0002-3478-0020	en_US
dc.contributor.author	Liu, D https://orcid.org/0000-0002-1581-5582	en_US
dc.contributor.author	Alempijevic, A https://orcid.org/0000-0002-1769-8041	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	Australasian Conference on Robotics and Automation, ACRA, 2013	en_US
dc.identifier.isbn	9780980740448	en_US
dc.identifier.issn	1448-2053	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27595
dc.description.abstract	This paper presents an extension to an ex- ploration strategy called Nearest Neighbour (NN) Exploration to reduce required explo- ration time. The new approach, called Nearest Neighbours with Backtracking (NNB) involves keeping track of all neighbours at each time step throughout exploration in a tree structure. This strategy is shown through simulations to improve exploration time.	en_US
dc.relation.ispartof	Australasian Conference on Robotics and Automation, ACRA	en_US
dc.title	Nearest neighbour exploration with backtracking for robotic exploration of complex 3D environments	en_US
dc.type	Conference Proceeding
utslib.for	0913 Mechanical Engineering	en_US
dc.location.activity	Sydney, Australia	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 Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper presents an extension to an ex- ploration strategy called Nearest Neighbour (NN) Exploration to reduce required explo- ration time. The new approach, called Nearest Neighbours with Backtracking (NNB) involves keeping track of all neighbours at each time step throughout exploration in a tree structure. This strategy is shown through simulations to improve exploration time.

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http://hdl.handle.net/10453/27595