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Towards CSP-based mission dispatching in C2/C4I systems
Graz University of Technology, Austria. (Institute for Software Technology)
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Intergrated Computer systems. Linköping University, The Institute of Technology. (Collaborative Robotics)
2012 (English)In: Proc. of the IEEE Int. Workshop on Safety, Security and Rescue Robotics (SSRR), IEEE , 2012, 1-6 p.Conference paper (Refereed)
Abstract [en]

One challenging problem in disaster response is to efficiently assign resources such as fire fighters and trucks to local incidents that are spatially distributed on a map. Existing systems for command and control (C2/C4I) are coming with powerful interfaces enabling the manual assignment of resources to the incident commander. However, with increasing number of local incidents over time the performance of manual methods departs arbitrarily from an optimal solution. In this paper we introduce preliminary results of building an interface between existing professional C2/C4I systems and Constraint Satisfaction Problem (CSP)-solvers. We show by using an example the feasibility of scheduling and assigning missions having deadlines and resource constraints.

Place, publisher, year, edition, pages
IEEE , 2012. 1-6 p.
National Category
Information Systems Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:liu:diva-87294DOI: 10.1109/SSRR.2012.6523875ISBN: 978-1-4799-0164-7 (print)ISBN: 978-1-4799-0163-0 (print)ISBN: 978-1-4799-0165-4 (print)OAI: diva2:588776
10th IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2012)
Artificial Intelligence & Integrated Computer Systems
eLLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications, 1025
Available from: 2013-01-15 Created: 2013-01-15 Last updated: 2014-11-11Bibliographically approved

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Kleiner, Alexander
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Artificial Intelligence and Intergrated Computer systemsThe Institute of Technology
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