| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 723086 | IFAC Proceedings Volumes | 2006 | 6 Pages |
Abstract
This paper presents a new leader following approach for a formation of carlike robots. The path planning problem is solved for the leader with optimized spline functions, which are generated by an evolutionary technique called particle swarm optimization. Because of the expansion of the formation, a collision free path is not guaranteed for the following vehicles. In our approach the followers reactively avoid collisions with path-blocking obstacles and also with other robots within the formation. The developed algorithms have been tested intensively in various simulations.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Martin Hess, Martin Saska, Klaus Schilling,