Planning with Map Uncertainty
Tech. Report, CMU-RI-TR-04-09, Robotics Institute, Carnegie Mellon University, February, 2004
Abstract
We describe an efficient method for planning in environments for which prior maps are plagued with uncertainty. Our approach processes the map to determine key areas whose uncertainty is crucial to the planning task. It then incorporates the uncertainty associated with these areas using the recently developed PAO* algorithm to produce a fast, robust solution to the original planning task.
BibTeX
@techreport{Ferguson-2004-8851,author = {David Ferguson and Anthony (Tony) Stentz},
title = {Planning with Map Uncertainty},
year = {2004},
month = {February},
institute = {Carnegie Mellon University},
address = {Pittsburgh, PA},
number = {CMU-RI-TR-04-09},
keywords = {Path planning},
}
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