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 |
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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 |
Externally published | Yes |
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