Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10325225 | Information Sciences | 2005 | 15 Pages |
Abstract
We therefore propose a gradual pattern formation algorithm, i.e., a group of robots improves complexity of their pattern from to a simple pattern to a goal pattern like a polygon. In the algorithm, the Turing diffusion-driven instability theory is used so that it could differentiate roles of each robot in a group based only on local information. In experiment, we demonstrate that robots can make a few polygon patterns from a circle pattern by periodically differentiating robot's roles into a vertex or a side. We show utilities of the proposed gradual pattern formation algorithm for multiple autonomous robots based on local information through some experiments.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yusuke Ikemoto, Yasuhisa Hasegawa, Toshio Fukuda, Kazuhiko Matsuda,