Abstract | ||
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An approach to the path planning problem is presented in which a distributed representation of the workspace is used, and related to it, parallel processing techniques are presented to search the world model. The representation, which is based on configuration space and can be computed in parallel, naturally captures the real world geometry. The search is based on a cellular automaton and diffuses strengths from the goal to find the shortest path. The approach can be extended to deal with rotational as well as translational motions. Paths can be found at different resolutions of the workspace. It also has the useful property that the complexity of the search is almost constant with varying degrees of environmental clutter. |
Year | DOI | Venue |
---|---|---|
1995 | 10.1016/0167-8191(96)80006-8 | Parallel Computing |
Keywords | Field | DocType |
robotics,simd machines,distributed representation,path planning,parallel path planning,array processor,configuration space,shortest path,cellular automaton,parallel processing | Motion planning,Cellular automaton,Any-angle path planning,Shortest path problem,Workspace,Clutter,Computer science,Parallel computing,Theoretical computer science,Artificial intelligence,Robotics,Configuration space | Journal |
Volume | Issue | ISSN |
21 | 11 | Parallel Computing |
Citations | PageRank | References |
5 | 0.67 | 10 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chang Shu | 1 | 67 | 7.61 |
Hilary Buxton | 2 | 491 | 135.93 |