Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2020, Issue 1, Pages 49–59
DOI: https://doi.org/10.14357/20718594200105
(Mi iipr127)
 

Intelligent robots and dynamical systems

AA-SIPP: any-angle path finding amidst static and dynamic obstacles

K. Yakovlev

Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
Abstract: A problem of path planning for an agent moving amidst static and dynamic obstacles is considered in the paper as a graph search problem. A novel method to solve it is introduced. The method is based on the combination of two complimentary ideas: any-angle path finding, i.e. augmenting the graph with the edges that connect initially non-adjacent vertices, and safe interval path planning, i.e. grouping the timesteps into the continuous intervals and operating them during heuristic search for a solution. Theoretical and empirical investigation of the algorithm are performed.
Keywords: path panning, path finding, heuristic search, safe interval path planning, any-angle path planning.
Funding agency Grant number
Russian Foundation for Basic Research
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: K. Yakovlev, “AA-SIPP: any-angle path finding amidst static and dynamic obstacles”, Artificial Intelligence and Decision Making, 2020, no. 1, 49–59
Citation in format AMSBIB
\Bibitem{Yak20}
\by K.~Yakovlev
\paper AA-SIPP: any-angle path finding amidst static and dynamic obstacles
\jour Artificial Intelligence and Decision Making
\yr 2020
\issue 1
\pages 49--59
\mathnet{http://mi.mathnet.ru/iipr127}
\crossref{https://doi.org/10.14357/20718594200105}
\elib{https://elibrary.ru/item.asp?id=42665391}
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  • https://www.mathnet.ru/eng/iipr127
  • https://www.mathnet.ru/eng/iipr/y2020/i1/p49
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