Jeffrey Coble and Diane J. Cook
Coordinating interaction among robot teams in order to maintain a formation is difficult. The objective of our research is to develop fault tolerant methods of accomplishing this task that will perform well in real world environments. We are examining this problem from a distributed computing perspective and have experimented with symbolic machine learning as a method for addressing uncertainties in communication among distributed, autonomous robots. Our intent is to develop solutions that have a broader applicability to distributed computing environments and applications.