Add to ORKGInternational audienceThis paper deals with problems of information collection in the intelligence process. The intelligence process takes place within hierarchical military organizations. That leads to bi-level sensor management optimization problems, consisting of both a coordination level and sensors control level. We will consider problems derived from actual operational scenarios, combining a multiobjective constraint satisfaction problem at the coordination level with sequential optimal controls at the sensors level. The modeling of the problem and solution methods will be presented and compared
International audienceThis paper addresses the problem of planning data collection missions for a se...
In developing multi-robot cooperative systems, there are often competing objectives that need to be ...
The goal of our solution is to deliver trustworthy decision making analysis tools which evaluate sit...
International audienceThis paper deals with problems of information collection in the intelligence p...
One of the key challenges associated with exploiting modern Autonomous Vehicle technology for milita...
In this publication a two-step approach for resource optimal sensor scheduling in intelligence is pr...
For maximizing the benefit of today's ISR (Intelligence, Surveillance, and Reconnaissance) systems i...
International audienceWhile there is a variety of approaches and algorithms for optimizing the missi...
This paper describes the in-field operation of two interacting autonomous marine vehicles to demonst...
The importance of the optimal Sensor Resource Management (SRM) problem is growing. The number of Rad...
In the military, joint and combined operations are quite common. Such operations may involve a great...
This thesis studies a class of sensor management problems called informative path planning (IPP). Se...
This paper presents the synthesis problem of intelligent multi-objective control system. For given m...
1.1. Research Goals. My research is focused on a class of engineering problems known as coverage con...
Abstract — Sensor networks are deployed to meet objectives such as minimizing power consumption and ...
International audienceThis paper addresses the problem of planning data collection missions for a se...
In developing multi-robot cooperative systems, there are often competing objectives that need to be ...
The goal of our solution is to deliver trustworthy decision making analysis tools which evaluate sit...
International audienceThis paper deals with problems of information collection in the intelligence p...
One of the key challenges associated with exploiting modern Autonomous Vehicle technology for milita...
In this publication a two-step approach for resource optimal sensor scheduling in intelligence is pr...
For maximizing the benefit of today's ISR (Intelligence, Surveillance, and Reconnaissance) systems i...
International audienceWhile there is a variety of approaches and algorithms for optimizing the missi...
This paper describes the in-field operation of two interacting autonomous marine vehicles to demonst...
The importance of the optimal Sensor Resource Management (SRM) problem is growing. The number of Rad...
In the military, joint and combined operations are quite common. Such operations may involve a great...
This thesis studies a class of sensor management problems called informative path planning (IPP). Se...
This paper presents the synthesis problem of intelligent multi-objective control system. For given m...
1.1. Research Goals. My research is focused on a class of engineering problems known as coverage con...
Abstract — Sensor networks are deployed to meet objectives such as minimizing power consumption and ...
International audienceThis paper addresses the problem of planning data collection missions for a se...
In developing multi-robot cooperative systems, there are often competing objectives that need to be ...
The goal of our solution is to deliver trustworthy decision making analysis tools which evaluate sit...