@conference {2818, title = {A game theoretic approach for antagonistic-task coordination of underwater autonomous robots in asymmetric threats scenarios}, booktitle = {OCEANS 2016}, year = {2016}, month = {12/2016}, abstract = {

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
robotic framework where robots are used to
protect a ship against asymmetric threats guaranteeing
simultaneously the coverage of the area around the ship
and the tracking of a possible intruder. The problem is
modelled as a potential game for which novel learning
protocols are introduced. Indeed, a general extension
of pay-off based algorithms is herein proposed where
the main difference with state-of-the-art protocols is
that the trajectory optimization is considered instead
of single action optimization. Moreover, the proposed
T-algorithms, steer the robots toward Nash equilibria
that will be shown to correspond to the accomplishment
of different, possibly antagonistic, goals. Finally, performances
of the algorithms, under different scenarios,
have been evaluated in simulations.

}, keywords = {Embedded Control, Robotics}, doi = {10.1109/OCEANS-Genova.2015.7271413}, url = {http://ieeexplore.ieee.org/document/7761346/}, author = {S. Nardi and T. Fabbri and A. Caiti and L. Pallottino} } @article {1289, title = {Secure Cooperation of Autonomous Mobile Sensors Using an Underwater Acoustic Network}, journal = {SENSORS}, volume = {12}, year = {2012}, pages = {1967{\textendash}1989}, keywords = {Embedded Control, Robotics}, issn = {1424-8220}, doi = {10.3390/s120201967}, url = {http://dx.medra.org/10.3390/s120201967}, author = {A. Caiti and V. Calabr{\`o} and G. Dini and A. Lo Duca and A. Munaf{\`o}} } @article {1291, title = {Autonomous underwater vehicle teams for adaptive ocean sampling: a data-driven approach}, journal = {OCEAN DYNAMICS}, volume = {61}, year = {2011}, pages = {{\textendash}}, keywords = {Embedded Control, Robotics}, issn = {1616-7341}, doi = {10.1007/s10236-011-0464-x}, url = {http://dx.medra.org/10.1007/s10236-011-0464-x}, author = {A. Munaf{\`o} and E. Simetti and A. Turetta and G. Casalino and A. Caiti} } @conference {FontanelliVGCB06, title = {Adaptive non Linear Control of Dynamic Mobile Robots with Parameters Uncertainty}, booktitle = {Int. IFAC Symp. on Robot Control}, year = {2006}, month = {September}, address = {Bologna, Italy}, abstract = {

Research of a modular stabilizing control law for uncertain, nonholonomic mobile systems with actuators limitation has been investigated. Modular design allows the definition of a stabilizing control law for the kinematic model. The presence of uncertainties in the actuators parameters or in the vehicle dynamics has been treated both adding suitable components to the Lyapunov function and using parameters adaptation laws (e.g. adaptive control and backstepping techniques). Simulations are reported for the set point stabilization of a unicycle like vehicle showing the feasibility of the proposed approach. Torque limitations for a unicycle like vehicle has been investigated using backstepping techniques for the vehicle tracking problem. Simulations are reported.

}, keywords = {Embedded Control, Robotics}, author = {D. Fontanelli and R. Viviani and L. Greco and A. Caiti and A. Bicchi} } @booklet {BCFGV05, title = {Adaptive nonlinear control of dynamic mobile robots with parameters uncertainty}, year = {2005}, publisher = {Dipartimento di Sistemi Elettrici e Automazione, Universit\à di Pisa}, abstract = {

Research of a modular stabilizing control law for uncertain, nonholonomic mobile systems with actuators limitation has been investigated. Modular design allows the definition of a stabilizing control law for the kinematic model. The presence of uncertainties in the actuators parameters or in the vehicle dynamics has been treated both adding suitable components to the Lyapunov function and using parameters adaptation laws (e.g. adaptive control and backstepping techniques). Simulations are reported for the set point stabilization of a unicycle like vehicle showing the feasibility of the proposed approach. Torque limitations for a unicycle like vehicle has been investigated using backstepping techniques for the vehicle tracking problem. Simulations are reported.

}, keywords = {Embedded Control, Robotics}, author = {A. Bicchi and A. Caiti and D. Fontanelli and L. Greco and R. Viviani} }