P. Di Lillo, D. Di Vito and G. Antonelli, “Set-Based Inverse Kinematics control of an UVMS within the DexROV project,” in MTS/IEEE OCEANS 2018, Charleston, SC, USA, 2018.

D. Di Vito, E. Cataldi, P. Di Lillo and G. Antonelli, “Vehicle adaptive control for underwater intervention including thrusters dynamics,” in 2nd IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, Denmark, 2018.

Ingrosso, R., De Palma, D., Avanzini, G., & Indiveri, G. Preliminary results of a dynamic modelling approach for underwater multi-hull vehicles, 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles, IFAC CAMS 2018 September 10-12, 2018, Opatija, Croatia

Di Vito, D., Di Lillo, P., Arrichiello, F., & Antonelli, G. (2018, June). Assistive Control Framework for Remotely Operated Vehicles. In 2018 26th Mediterranean Conference on Control and Automation (MED) (pp. 364-369). IEEE.

Di Lillo, P., Di Vito, D., Simetti, E., Casalino, G., & Antonelli, G. (2018). Satellite-based tele-operation of an underwater vehicle-manipulator system. Preliminary experimental results. IEEE Conference on Robotics and Automation.

Simetti, E., Casalino, G., Wanderlingh, F., & Aicardi, M. (2018). Task priority control of underwater intervention systems: Theory and applications. Ocean Engineering, 164, 40-54.

Casalino G., Simetti E., Wanderlingh F. (2017) Robotized Underwater Interventions. In: Fossen T., Pettersen K., Nijmeijer H. (eds) Sensing and Control for Autonomous Vehicles. Lecture Notes in Control and Information Sciences, vol 474. Springer, Cham

Simetti, E., Wanderlingh, F., Casalino, G., Indiveri, G., & Antonelli, G. (2017). DexROV project: Control framework for underwater interaction tasks. Oceans’ 17 MTS/IEEE Aberdeen

Di Vito, D., Natale, C., & Antonelli, G. (2017). A comparison of damped least squares algorithms for inverse kinematics of robot manipulators. IFAC-PapersOnLine, 50(1), 6869-6874.