Risultati di ricerca

con K2 Items e Tipo , e con Elenco Pubblicazioni - Publications e K2 Category , e con TOMMASO FABBRI e Author sono stati trovati i seguenti risultati:

Fabbri, T., et al. "Distributed Task-priority Based Control in Area Coverage & Adaptive Sampling.", OCEANS 2016 MTS/IEEE Aberdeen. IEEE, 2017.
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...
G. Franzini, S. Aringhieri, T. Fabbri, M. Razzanelli, L. Pollini, and M. Innocenti. Human-Machine Interface for Multi-Agent Systems Management using the Descriptor Function Framework. In Proc. 3rd International Workshop on Modelling and Simulation fo
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...
T. Fabbri, S. Nardi, L. Isgrò, L. Pallottino, and A. Caiti. Assessing the potential of autonomous multi-agent surveillance in asset protection from underwater threats. In Proc. 3rd International Workshop on Modelling and Simulation for Autonomous Sys
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...
S. Nardi, T. Fabbri, A. Caiti, and L. Pallottino. A game theoretic approach for antagonistic-task coordination of underwater autonomous robots in asymmetric threats scenarios. In OCEANS’16 MTS/IEEE Monterey, September 2016.
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...
F. Fabiani, D. Fenucci, T. Fabbri, and A. Caiti. A passivity-based framework for coordinated distributed control of AUV teams: guaranteeing stability in presence of range communication constraints. In OCEANS’16 MTS/IEEE Monterey, September 2016.
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...
F. Fabiani, D. Fenucci, T. Fabbri, and A. Caiti. A distributed, passivity-based control of autonomous mobile sensors in an underwater acoustic network. In Proceedings of the 10th IFAC Conference on Control Applications in Marine Systems, CAMS 2016, T
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...
T. Fabbri, M. Verhoef, V. Bandur, M. Perrotin, A. Tsiodras, and P.G. Larsen. Towards integration of Overture into TASTE. 14th Overture Workshop, November 2016.
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...
T. Fabbri, F. Di Corato, D. Fenucci, D. Meucci, A. Caiti: "Multiple target tracking in seabed surveys using the GM-PHD filter", IEEE/MTS Oceans'15
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...
T. Fabbri, R. Vicen-Bueno, R. Grasso, G. Pallotta, L. Millefiori, L. Cazzanti: "Optimization of surveillance vessel network planning in maritime command and control systems by fusing METOC & AIS vessel traffic information", IEEE/MTS Oceans'15
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...

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