The paper presents the first simulative results and algorithmic developments of the task-priority based control applied to a distributed sampling network in an area coverage or adaptive sampling mission scenario. The proposed approach allowing the...
Human-machine interfaces for command and control of teams of autonomous agents is an enabling technology for the development of reliable multi-agent systems. Tools for proper modelling of these systems are sought in order to ease the creation of...
A Serious Game (SG) system for the assessment of the potential of the multi-vehicle surveillance is presented. The SG system is applied to the problem of protection of strategic assets from underwater asymmetric threats. The SG platform integrates the...
This work proposes a game theoretic approach to tackle the problem of multi-robot coordination in critical scenarios where communication is limited and the robots must accomplish different tasks simultaneously. An important application falls in...
This paper presents a cooperative, distance-based, distributed control law for multiple Autonomous Underwater Vehicles (AUVs) executing a mission while meeting mutual communications constraints. The classic graph theory provides the essential tools to...
This paper presents a cooperative and distributed control law for multiple Autonomous Underwater Vehicles (AUVs) executing a mission while meeting mutual communication constraints. Virtual couplings define interaction control forces between neighbouring...
Both TASTE and Overture have successfully demonstrated that method integration is a very promising strategy to create robust and effective tool suites. We show how the automated generation of bidirectional translation functions between VDM and ASN.1...
This paper proposes a Bayesian set-based estimator applied to the adaptive mapping of objects resting on the seabed, through the design and the implementation of a Gaussian Mixture - Probability Hypothesis Density (GM-PHD) filter. Starting from the...
This paper presents the recent developments of an Optimal Path Planning - Decision Support System (OPP-DSS). The designed framework is based on multi-objective optimization algorithms providing a set of Pareto efficient solutions repre- senting a...