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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kumpel, J. Sparbert, J. Tibken, B. Hofer, E.P. |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Meas., Control & Microtechnol., Univ. of Ulm, Ulm, Germany (Kumpel, J.; Sparbert, J.; Tibken, B.; Hofer, E.P.) |
| Abstract | This paper presents a method to solve the general problem of path planning in the field of robotics. For autonomous mobile robots the configuration space is given by an occupancy matrix represented by a bitmap. Quadtree decomposition is used to decompose the configuration space in order to achieve a representation, which needs less memory than the original representation with a bitmap. A connectivity graph is generated from the decomposed configuration space using neighbour finding techniques. A final graph search yields a feasible path, e.g. a shortest path. Due to smaller data structures the search of the free space of the configuration space for a feasible path can be done much faster. The presented algorithms are implemented using C++. The results of simulations for typical environments together with execution times are presented. |
| Starting Page | 277 |
| Ending Page | 282 |
| File Size | 2248908 |
| Page Count | 6 |
| File Format | |
| ISBN | 9783952417355 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-08-31 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | EUCA |
| Subject Keyword | Robot motion Quadtree Cell Decomposition Computer graphics Aerospace electronics Path planning Robot Motion Planning Planning Matrix decomposition Shortest Path |
| Content Type | Text |
| Resource Type | Article |
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