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Alumnus of the Artificial Intelligence Center
This is a joint project with Stanford, University of Washington, and ActiveMedia Robotics, to design, implement and demonstrate a computational framework for the coordination of very large robot teams, consisting of at least 100 small, resource limited robots, on an indoor reconnaissance task.
The goal of this project is to develop the Link Analysis Workbench (LAW), a Web-accessible tool where analysts and machines collaboratively perform link analysis by defining hierarchical and temporal patterns, that include uncertain and qualitative elements, and by defining search strategies for pattern application, through a graphical user interface that supports direct graphical browsing and editing of patterns, search strategies, and summaries and details of resulting matches.
The following are in reverse chronological order of publication.
Showing most recent 5 out of 22 [View All]
Chan M., Ruspini E.H., Lowrance J., Yang J., Murdock J., Yeh E. Human-aided multi-sensor fusion, in Eighth International Conference on Information Fusion, FUSION 2005, 2005. [Details]
Ruspini, E. and Thomere, J. and Wolverton, M. Database Editing Metrics for Pattern Matching, in Proceedings of the IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS-04), S. Giuliano - Venice, Italy, pp. 39-45, Aug 2004. [PDF, Details]
Thomere, J. and Harrison I. and Lowrance J. and Rodriguez A. and Ruspini E. and Wolverton M. Helping Intelligence Analysts Detect Threats in Overflowing, Changing and Incomplete Information, in Proceedings of the 2004 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, IEEE, pp. 39-45, Jul 2004. [PDF, Details]
Wolverton, M. and Berry, P. and Harrison, I. and Lowrance, J. and Morley, D. and Rodriguez, A. and Ruspini, E. and Thomere, J. LAW: A Workbench for Approximate Pattern Matching in Relational Data. in The Fifteenth Innovative Applications of Artificial Intelligence Conference (IAAI-03), 2003. [PDF, Details]
Konolige, K. and Ortiz, C. and Vincent, R. and Agno, A. and Eriksen, M. and Limketkai, B. and Lewis, M. and Briesemeister, L. and Ruspini, E. and Fox, D. and Ko, J. and Sftewart, B. and Guibas, L. Large-Scale Robot Teamsin Multi-Robot Systems: From Swarms to Intelligent Autonoma, Kluwer Academic Publishers, 2003. [Details]