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- Any-angle_path_planning abstract "Any-angle path planning algorithms search for paths on a cell decomposition of a continuous configuration space (such as a two-dimensional terrain).Consider, for example, a uniform grid with blocked and unblocked cells. Searching the corresponding visibility graph finds a shortest path from a given start vertex to a given goal vertex but is typically very slow since the number of edges can grow quadratically in the number of vertices. Searching the corresponding grid graph typically finds suboptimal paths (since, for example, the heading changes of the resulting path are constrained to multiples of 45 degrees on an eight-neighbor grid graph) but is fast since the number of edges grows no faster than linearly in the number of vertices. Optimizing the path after the search typically shortens the path but does not change the topology of the path. It does not find a shortest path, for example, if the path found by the search algorithm passes a blocked cell on the left but the shortest path passes the same blocked cell on the right. Thus, there is an advantage to interleaving the search and the optimization. Any-angle path planning algorithms propagate information along grid edges (to search fast) without constraining their paths to grid edges (to find short paths). Thus, the heading changes of their paths are not constrained to specific angles, which explains their name.So far, three main any-angle path planning algorithms have been developed, all are based on the heuristic search algorithm A*. Field D* uses interpolation during each vertex expansion. Theta* checks for shortcuts during each vertex expansion. Finally, Block A* uses a look-up table to quickly find piece-wise any-angle paths.".
- Any-angle_path_planning wikiPageID "24238010".
- Any-angle_path_planning wikiPageRevisionID "541133026".
- Any-angle_path_planning hasPhotoCollection Any-angle_path_planning.
- Any-angle_path_planning subject Category:Artificial_intelligence.
- Any-angle_path_planning subject Category:Robot_navigation.
- Any-angle_path_planning subject Category:Search_algorithms.
- Any-angle_path_planning type Abstraction100002137.
- Any-angle_path_planning type Act100030358.
- Any-angle_path_planning type Activity100407535.
- Any-angle_path_planning type Algorithm105847438.
- Any-angle_path_planning type Event100029378.
- Any-angle_path_planning type Procedure101023820.
- Any-angle_path_planning type PsychologicalFeature100023100.
- Any-angle_path_planning type Rule105846932.
- Any-angle_path_planning type SearchAlgorithms.
- Any-angle_path_planning type YagoPermanentlyLocatedEntity.
- Any-angle_path_planning comment "Any-angle path planning algorithms search for paths on a cell decomposition of a continuous configuration space (such as a two-dimensional terrain).Consider, for example, a uniform grid with blocked and unblocked cells. Searching the corresponding visibility graph finds a shortest path from a given start vertex to a given goal vertex but is typically very slow since the number of edges can grow quadratically in the number of vertices.".
- Any-angle_path_planning label "Any-angle path planning".
- Any-angle_path_planning sameAs m.07kjfgw.
- Any-angle_path_planning sameAs Q4778119.
- Any-angle_path_planning sameAs Q4778119.
- Any-angle_path_planning sameAs Any-angle_path_planning.
- Any-angle_path_planning wasDerivedFrom Any-angle_path_planning?oldid=541133026.
- Any-angle_path_planning isPrimaryTopicOf Any-angle_path_planning.