Jeremy W. Baxter
ABSTRACT
We describe a Multi-Agent System (MAS) for controlling teams of uninhabited air vehicles (UAVs) in the context of a larger system that has been used to evaluate potential concepts of use and technologies. The approach is one of a decision-making partnership between a human operator and an intelligent uninhabited capability. The MAS controls the UAVs and self-organises to achieve the tasks set by the operator with interaction via a variable autonomy interface. We describe how the agents are integrated with the rest of the system and present a number of system integration issues that have arisen. The overall system has been evaluated in a number of human-in-the-loop trials within a detailed synthetic environment.
- Baxter, J. W. and Horn, G. S. Executing Group Tasks Despite Losses and Failures. In Proceedings of the Tenth Conference on Computer Generated Forces and Behavioral Representation. Norfolk, VA, 15--17 May 2001, 205--214.Google Scholar
- Chandler, P. R., Pachter, M., Nygard, K. E. and Swaroop, D. Cooperative control for target classification. In Cooperative Control and Optimization, edited by Murphey, R. and Pardos, P. M., Kluwer Academic Publishers, May 2002.Google Scholar
- Howard, M., Hoff, B. and Lee, C. Hierarchical Command and Control for Multi-Agent Teamwork. In Proceedings of the 5th International Conference on Practical Applications of Intelligent Agents and Multi-Agent Technology (PAAM2000) Manchester, UK, April 2000.Google Scholar
- Howitt, S. L. and Richards, D. The Human Machine Interface for Airborne Control of UAVs. 2nd AIAA Unmanned Systems, Technologies, and Operations Aerospace, Land, and Sea Conference and Workshop. September 2003.Google Scholar
- Levesque, H., Cohen, P. and Nunes, J. On Acting Together. In Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90) (Boston, MA). AAAI, Menlo Park, CA, 1990, 94--99.Google Scholar
- Maheswaran, R. T., Tambe, M., Varakantham, P. and Myers, K. Adjustable Autonomy Challenges in Personal Assistant Agents: A Position Paper. In Agents and Computational Autonomy: Potential, Risks and Solutions, edited by M. Nickles, G. Weiss and M. Rovatsos, Springer-Verlag, 2004.Google Scholar
- Tambe, M. and Zhang, W. Towards flexible teamwork in persistent teams. In Proceedings of the International conference on multi-agent systems (ICMAS), 1998. Google ScholarDigital Library
- Tambe, M., Shen, W., Mataric, M., Goldberg, D., Modi, J., Qiu, Z., and Salemi, B.: Teamwork in cyberspace: Using TEAMCORE to make agents team-ready. In the Proceedings of AAAI Spring Symposium on Agents in Cyberspace, 1999.Google Scholar
- Vachtsevanos, G., Tang, L. and Reimann, J. An Intelligent Approach to Coordinated Control of Multiple Unmanned Aerial Vehicles. Presented at the American Helicopter Society 60th Annual Forum, Baltimore, MD, June 2004.Google Scholar
Index Terms
- Controlling teams of uninhabited air vehicles
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