Date of Award
Senior Scholars Paper (Open Access)
Colby College. Computer Science Dept.
Clare Bates Congdon
This project is motivated by an existing robot system for mapping unknown environments and attempts to improve its effectiveness through the use of genetic algorithms. Using a robot simulator, the mapping system is created using simulated robots and a simulated environment. The robots are controlled by a supervisor agent that makes the high-level decisions about tasks for individual robots to complete to accomplish the mapping effort. This research investigates the ability of adding a genetic algorithm learning component to the supervisor to improve its ability to coordinate the robotic agents.
Robot system, mapping, genetic algorithms, robot stimulator, robotic agents, coordination
Recommended CitationSotzing, Chris, "A Genetic Algorithms Approach to Learning Communication and Coordination in Simulated Robots" (2004). Senior Scholar Papers. Paper 242.
Colby College theses are protected by copyright. They may be viewed or downloaded from this site for the purposes of research and scholarship. Reproduction or distribution for commercial purposes is prohibited without written permission of the author.