학술논문
Evolutionary self-organization of an artificial potential field map with a group of autonomous robots
Document Type
Conference
Author
Source
Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) Evolutionary computation Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on. 1:350-357 Vol. 1 1999
Subject
Language
Abstract
This paper is concerned with two issues: (1) how to enable distributed robots to dynamically acquire their goal-directed collective behaviors, and (2) how to apply the methodology of collective behavioral learning to solve the world modeling problems in mobile robot navigation. We have developed an evolutionary self-organization approach to collective task handling, and furthermore, demonstrated the implemented approach in tackling the specific problem of collectively constructing a global spatial representation, i.e., an artificial potential field map, in an unknown environment.