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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2020 Issue 1, Pages 49–59 (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.

DOI: 10.14357/20718594200105



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© Steklov Math. Inst. of RAS, 2024