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Towards Incremental A-r-Star

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Advance Trends in Soft Computing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 312))

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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Correspondence to Daniel Opoku .

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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

  • eBook Packages: EngineeringEngineering (R0)

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