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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.
Citation:
K. Yakovlev, “AA-SIPP: any-angle path finding amidst static and dynamic obstacles”, Artificial Intelligence and Decision Making, 2020, no. 1, 49–59
Linking options:
https://www.mathnet.ru/eng/iipr127 https://www.mathnet.ru/eng/iipr/y2020/i1/p49
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Statistics & downloads: |
Abstract page: | 8 | Full-text PDF : | 8 | References: | 1 |
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