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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/802624

Title

Sound-scapes for robot localisation through dimensionality reduction

Author/Creator

Wong, Aaron S. W.;  Chalup, Stephan K.

Institution

The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science

Description

Sound-scapes similar to landscapes, are geometric representations of an objects’ relative positions in the real world. In this paper we demonstrate how to obtain and use a sound-scape to assist the Aldebaran NAO with localisation. We apply dimensionality reduction techniques such as statistical learning methods which include neural networks, support vector machines, the recent graph based approximation technique isometric feature mapping to extract the NAO’s field co-ordinate from its recorded acoustic data. Results obtained includes visualisations of sound-scapes (robot’s positions on field) and positional accuracies of up to 80%.

Relation

Australasian Conference on Robotics and Automation 2008 (ACRA 2008). Proceedings of the 2008 Australasian Conference on Robotics & Automation (Canberra, A.C.T. 3-5 December, 2008)

Relation

http://www.araa.asn.au/acra/acra2008/index.html

Date

2008

Publisher

Australian Robotics & Automation Association

Keyword(s)

sound-scapes;  robotics;  localisation;  NAO;  visualisation

Resource Type

conference paper

Identifier

http://hdl.handle.net/1959.13/802624

Identifier

ISBN:9780646506432

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Subject

"Sound-scapes for robot localisation through dimensionality reduction"

 

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