Biber, Peter and Duckett, Tom (2009) Experimental analysis of sample-based maps for long-term SLAM. International Journal of Robotics Research, 28 (1). pp. 20-33. ISSN 0278-3649

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Abstract

This paper presents a system for long-term SLAM (simultaneous localization and mapping) by mobile service robots and its experimental evaluation in a real dynamic environment. To deal with the stability-plasticity dilemma (the trade-off between adaptation to new patterns and preservation of old patterns), the environment is represented at multiple timescales simultaneously (5 in our experiments). A sample-based representation is proposed, where older memories fade at different rates depending on the timescale, and robust statistics are used to interpret the samples. The dynamics of this representation are analysed in a five week experiment, measuring the relative influence of short- and long-term memories over time, and further demonstrating the robustness of the approach.

Item Type:	Article
Keywords:	mobile robotics, ref11, refdoi
Subjects:	G Mathematical and Computer Sciences > G700 Artificial Intelligence
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Computer Science
Depositing User:	Tom Duckett
Date Deposited:	16 Dec 2009 09:59
Last Modified:	15 May 2013 09:08
URI:	http://eprints.lincoln.ac.uk/id/eprint/2095

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