Abstract
Graph search based path planning is popular in mobile robot applications and video game programming. Previously, we developed the A-r-Star pathfinder, a suboptimal variant of the A-Star pathfinder with performance that scales linearly with increasing the resolution (size) and hence sparseness of the grid map of a given continuous world. This paper presents the study of the direct acyclic graph (tree structure) formed by the A-r-Star and outlines steps to developing an incremental version of the A-r-Star. The incremental version of A-r-Star is able to replan faster using information from previous searches to speed up subsequent searches.
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© 2014 Springer International Publishing Switzerland
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Opoku, D., Homaifar, A., Tunstel, E.W. (2014). Towards Incremental A-r-Star. In: Jamshidi, M., Kreinovich, V., Kacprzyk, J. (eds) Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-03674-8_19
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DOI: https://doi.org/10.1007/978-3-319-03674-8_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03673-1
Online ISBN: 978-3-319-03674-8
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