
|

|
RI | Research | Projects | AFOSR PRET: Information Fusion for Command and Control: The Translation of Raw Data To Actionable Knowledge and Decision
|
Text only version of this site
![[Project image]](/images/projects/pret.jpg) |
AFOSR PRET: Information Fusion for Command and Control: The Translation of Raw Data To Actionable Knowledge and Decision Head: Katia Sycara Contact: Lori R Price (lrprice@cs.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 - October 2006.
Jump to:
Project Description |
Personnel |
Publications
To respond to an ever-changing, uncertain environment, human commanders must maintain a general awareness of the battlespace, and yet focus on relevant contextual information when making decisions, without distraction from peripheral events. Decision cycles have shortened, available information has expanded, and missions have become increasingly variegated. The repertoire of traditional battle functions has expanded to include new types of operations, such as ad hoc responses to terrorism, response to biochemical threats, and operations other than those of war and coalition operations. To meet these new challenges, the commander needs enhanced decision support. Yet providing this automation becomes increasingly difficult as uncertainty increases.
Furthermore, while the volume of raw information available for command decisions at all echelons is rapidly increasing, its coordination and dissemination as useful information becomes far more difficult, leading to the problem of "data overload and information starvation." Data is often fragmented, multi-modal, uncertain, and distributed across disparate sources.
The next generation of battlefield information systems must meet the twin challenges of scaling up to accommodate the explosion of cheap ubiquitous sensors, while extending access to increasingly heterogeneous information sources, from the Air Force's own legacy systems to those of other cooperating services and nations. These new sources of information must not only be accessed; they must be converted from mere data into sources of usable, actionable knowledge.
To address these issues in high-level information fusion, we are conducting a multidisciplinary research effort involving computer scientists, engineers and cognitive psychologists, from Carnegie Mellon University, the University of Pittsburgh, the Munitions Directorate of Air Force Research Laboratory (MN/AFRL), Rome Labs, and Northrup Grumman. We will combine our various expertise to develop the next generation of information fusion systems.
- Policy Recognition for Multi-Player Tactical Scenarios
G. Sukthankar and K. Sycara
Proceedings of International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), May, 2007.
[Abstract]
Download: pdf [3276 KB] copyrighted
- Simultaneous Team Assignment and Behavior Recognition from Spatio-temporal Agent Traces
G. Sukthankar and K. Sycara
Proceedings of Twenty-First National Conference on Artificial Intelligence (AAAI-06), July, 2006.
[Abstract]
Download: pdf [165 KB] copyrighted
- Robust Recognition of Physical Team Behaviors using Spatio-temporal Models
G. Sukthankar and K. Sycara
Proceedings of Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), May, 2006.
[Abstract]
Download: pdf [357 KB] copyrighted
- Activity Recognition for Physically-Embodied Agent Teams
G. Sukthankar
tech. report CMU-RI-05-44, Robotics Institute, Carnegie Mellon University, October, 2005.
[Abstract]
Download: pdf [1289 KB] copyrighted
- An Agent-Based C4ISR Testbed
J.A. Giampapa, K. Sycara, S.R. Owens, R. Glinton, Y. Seo, B. Yu, C.E. Grindle, Y. Xu, and M. Lewis
Eighth International Conference on Information Fusion, IEEE, 3 Park Avenue, 17th Floor, New York, NY 10016-5997, Vol. 2, July, 2005.
[Abstract]
Download: pdf [1837 KB] copyrighted
- An Evidential Model of Multisensor Decision Fusion for Force Aggregation and Classification
B. Yu, J.A. Giampapa, S.R. Owens, and K. Sycara
Eighth International Conference on Information Fusion, IEEE, 3 Park Avenue, 17th Floor, New York, NY 10016-5997, July, 2005.
[Abstract]
Download: pdf [134 KB] copyrighted
- Intent Inference Using a Potential Field Model of Environmental Influences
R. Glinton, S.R. Owens, J.A. Giampapa, K. Sycara, M. Lewis, and C. Grindle
Eighth International Conference on Information Fusion, IEEE, 3 Park Avenue, 17th Floor, New York, NY 10016-5997, July, 2005.
[Abstract]
Download: pdf [520 KB] copyrighted
- 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
- Extending the OneSAF Testbed into a C4ISR Testbed
J.A. Giampapa, K. Sycara, S.R. Owens, R. Glinton, Y. Seo, B. Yu, C.E. Grindle, and M. Lewis
SIMULATION: Special Issue on Military Simulation Systems and Command and Control Systems Interoperability, Vol. 80, No. 12, December, 2004.
[Abstract]
Download: pdf [291 KB] copyrighted
- Automating Terrain Analysis: Algorithms for Intelligence Preparation of the Battlefield
C. Grindle, M. Lewis, R. Glinton, J.A. Giampapa, S.R. Owens, and K. Sycara
Proceedings of the Human Factors and Ergonomics Society 48th Annual Meeting, Human Factors and Ergonomics Society, P.O. Box 1369, Santa Monica, CA 90406-1369, September, 2004, pp. 533--537.
[Abstract]
Download: pdf [231 KB] copyrighted
The Robotics Institute is part of the
School of Computer Science,
Carnegie Mellon University.
For updates and comments, please see these
instructions.
This page maintained by robotwebmaster@ri.cmu.edu