Date of Award
2004
Document Type
Senior Scholars Paper (Open Access)
Department
Colby College. Computer Science Dept.
Advisor(s)
Clare Bates Congdon
Abstract
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.
Keywords
Robot system, mapping, genetic algorithms, robot stimulator, robotic agents, coordination
Recommended Citation
Sotzing, Chris, "A Genetic Algorithms Approach to Learning Communication and Coordination in Simulated Robots" (2004). Senior Scholar Papers. Paper 242.https://digitalcommons.colby.edu/seniorscholars/242
Copyright
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