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Cooperative Attack Munition Real Time Assessment (CAMRA)
Head: Katia Sycara
Contact: Joseph Andrew Giampapa (garof@andrew.cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: CIMDS
Associated lab/group: Intelligent Software Agents

For more information, see this project's homepage.

This page last updated - December 2005.

The Cooperative Attack Munition Real Time Assessment (CAMRA) project is a joint project between the Intelligent Software Agents Lab in the Robotics Institute and the University of Pittsburgh to develop large teams of autonomous Wide Area Search Munitions (WASMs) that can be controlled by a small number of human operators. A WASM is a cross between an unmanned aerial vehicle - it can sense its environment and react to changing situations - and a smart bomb - it can destroy targets by hitting them. The Air Force sponsors of the project envision having hundreds or even thousands of WASMs flying in support of troops within hostile battle spaces. Achieving this vision requires overcoming some significant technical challenges. CMU's role in this project is to develop the algorithms required to achieve cohesive, flexible and robust coordination in the hostile environment.

Name - Title <Email Address>
• Sean R Owens - Research Programmer <owens@cs.cmu.edu>
• [Home] Paul Scerri - Systems Scientist <pscerri@cs.cmu.edu>
• [Home] Katia Sycara - Research Professor <katia@cs.cmu.edu>

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Techniques and Directions for Building Very Large Agent Teams
  P. Scerri, J.A. Giampapa, and K. Sycara
  2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS'05: Modeling, Exploration, and Engineering, IEEE Boston Section, P.O. Box 1331, Piscataway, NJ 08855--1331, April, 2005, pp. 79--84. [Abstract]
  Download: pdf [284 KB] copyrighted

• Adjustable Autonomy in the Context of Coordination
  P. Scerri, K. Sycara, and M. Tambe
  AIAA 3rd "Unmanned Unlimited" Technical Conference, Workshop and Exhibit, 2004. [Abstract]
  Download: pdf [316 KB] copyrighted

• Framework for Very Large Teams
  E. Liao, P. Scerri, and K. Sycara
  AAMAS'04 Workshop on Coalitions and Teams, 2004.
  Download: pdf [664 KB] copyrighted

• Scaling Teamwork to Very Large Teams
  P. Scerri, Y. Xu, E. Liao, J. Lai, and K. Sycara
  AAMAS'04, 2004. [Abstract]
  Download: pdf [411 KB] copyrighted

• Sharing in Large Scale Teams
  Y. Xu, M. Lewis, K. Sycara, and P. Scerri
  AAMAS'04 Workshop on Challenges in Coordination o f Large Scale MultiAgent Systems, 2004.
  Download: pdf [651 KB] copyrighted

• Token Approach for Role Allocation in Extreme Teams: analysis and experimental evaluation
  P. Scerri, A. Farinelli, S. Okamoto, and M. Tambe
  Proceedings of 2nd IEEE International Workshop on Theory and Practice of Open Computational Systems, 2004. [Abstract]
  Download: pdf [294 KB] copyrighted