DocumentCode
1662432
Title
Task-oriented optimal configuration structure in a three-dimensional self-organizing robot by genetic algorithms
Author
Izumi, Kiyotaka ; Tamura, Hodaka ; Watanabe, Keigo
Author_Institution
Dept. of Mech. Eng., Saga Univ., Japan
Volume
2
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
740
Abstract
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 a three-dimensional environment, a special fitness of a 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
Keywords
genetic algorithms; path planning; robots; self-adjusting systems; cellular robotic system; task-oriented optimal configuration structure; three-dimensional self-organizing robot; Binary trees; Collision mitigation; Control engineering; Couplings; Genetic algorithms; Genetic engineering; Intelligent robots; Mechanical engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location
Tokyo
ISSN
1062-922X
Print_ISBN
0-7803-5731-0
Type
conf
DOI
10.1109/ICSMC.1999.825354
Filename
825354
Link To Document