Elenco Pubblicazioni - Publications (1524)
M. Innocenti, L. Pollini, G. Franzini, A. Salvetti, “Swarm Obstacle and Collision Avoidance using Descriptor Functions”, in Proc. 2016 IEEE Conference on Control Applications, Buenos Aires, Argentina, Sep. 2016, pp. 487-492.
Written by GIOVANNI FRANZINI
The descriptor function framework is used as tool for the control management of a swarm of dynamic agents. In this framework, a provision is made for obstacle and collision avoidance, thus improving the potential of…
M. G. Campana, F. Delmastro, R. Bruno, "A Machine-Learned Ranking Algorithm for Dynamic and Personalised Car Pooling Services", IEEE ITSC 2016, Rio de Janeiro, Brazil, November 1-4, 2016
Written by MATTIA GIOVANNI CAMPANA
Car pooling is expected to significantly help in reducing traffic congestion and pollution in cities by enabling drivers to share their cars with travellers with similar itineraries and time schedules. A number of car pooling…
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
Written by TOMMASO FABBRI
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…
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
Written by TOMMASO FABBRI
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…
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.
Written by TOMMASO FABBRI
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 underwater …
