Experimental Analysis of Sample-Based Maps for Long-Term SLAM
- 1 January 2009
- journal article
- research article
- Published by SAGE Publications in The International Journal of Robotics Research
- Vol. 28 (1), 20-33
- https://doi.org/10.1177/0278364908096286
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 by multiple timescales simultaneously (five 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 analyzed 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.Keywords
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