Evolving controllers for autonomous robot search teams |
| |
Authors: | Robert?L?Dollarhide Email author" target="_blank">Arvin?AgahEmail author Gary?J?Minden |
| |
Affiliation: | (1) Southwest Research Institute, San Antonio, TX, USA;(2) Department of Electrical Engineering and Computer Science, University of Kansas, 66045 Lawrence, KS, USA |
| |
Abstract: | Deploying autonomous robot teams instead of humans in hazardous search and rescue missions could provide immeasurable benefits.
In such operations, rescue workers often face environments where information about the physical conditions is impossible to
obtain, which not only hampers the efficiency and effectiveness of the effort, but also places the rescuers in life-threatening
situations. These types of risk promote the potential for using robot search teams in place of humans. This article presents
the design and implementation of controllers to provide robots with appropriate behavior. The effective utilization of genetic
algorithms to evolve controllers for teams of homogeneous autonomous robots for area coverage in search and rescue missions
is described, along with a presentation of a robotic simulation program which was designed and developed. The main objective
of this study was to contribute to efforts which attempt to implement real-world robotic solutions for search and rescue missions. |
| |
Keywords: | Evolutionary robotics Distributed robotics Genetic algorithms Robot search teams |
本文献已被 SpringerLink 等数据库收录! |
|