SRI's Artificial Intelligence Center Do not follow this link, or your host will be blocked from this site. This is a spider trap. Do not follow this link, or your host will be blocked from this site. This is a spider trap. Do not follow this link, or your host will be blocked from this site. This is a spider trap.A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A ASRI International.  333 Ravenswood Avenue.  Menlo Park, CA 94025-3493. SRI International is a nonprofit corporation. Search  |  Contact  |  SRI Home
Space 1x1
 AIC Home   >   People   >   Dr Enrique H Ruspini
Space 1x1
 

Dr Enrique H Ruspini

Principal Scientist
Artificial Intelligence Center

SRI International
Room EK278
333 Ravenswood Avenue
Menlo Park, CA 94025-3493
USA

Phone:  (650) 859-2314
Fax:  (650) 859-3735

Email: 

Home Page: http://www.ai.sri.com/~ruspini

   Past Projects

Centibots

Centibots very large-scale robot teams
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.
 

LAW

The Link Analysis Workbench
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.
 

   Publications

The following are in reverse chronological order of publication.

Showing most recent 5 out of 21  [View All]

  • 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]

  • 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]

  • 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]

  • Zwir, I. and Romero Zaliz, R. and Ruspini, E. H. Automated Biological Sequence Description by Genetic Multiobjective Generalized Clustering. Annals of the New York Academy of Sciences, vol. 980, pp. 65–82, December 2002.  [Details]

Spacer 1x1
Spacer 1x1
 
SRI International

©2008 SRI International, 333 RavenswoodAvenue, Menlo Park, CA 94025-3493
SRI International is a nonprofit corporation. Privacy policy