Abstract
This paper describes the construction of a task-oriented configuration structure in the cellular robotic system as a three-dimensional self-organizing robot by using Genetic Algorithms (GAs). To deal with the optimal configuration in three-dimensional environment, a special fitness of GA is introduced: it consists of the reachable height and lifting capacity of the robot. The simulation result shows that the present task-oriented configuration structure method in three dimensional environment can be used to find the desired configuration for a given task.
| Original language | English |
|---|---|
| Pages (from-to) | II-740 - II-745 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 2 |
| Publication status | Published - Dec 1 1999 |
| Event | 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn Duration: Oct 12 1999 → Oct 15 1999 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture
Cite this
Izumi, K., Tamura, H., & Watanabe, K. (1999). Task-oriented optimal configuration structure in a three-dimensional self-organizing robot by genetic algorithms. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2, II-740 - II-745.