Publications by venue
Journal Publications
Carlucho, I., Dylan W. Stephens, Corina Barbalata, An adaptive data-driven controller for underwater manipulators with variable payload (2021) Applied Ocean Research
Avila L., De Paula, M., Trimboli, M., Carlucho, I., Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids (2020) Applied Soft Computing
Carlucho, I., De Paula, M., Acosta, G.G., An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots (2020) ISA Transactions
Avila L., De Paula, M., Carlucho, I., Sanchez Reinoso, C., MPPT for PV systems using deep reinforcement learning algorithms (2019) IEEE Latin America Transactions
Carlucho, I., De Paula, M., Acosta, G.G., Double Q-PID algorithm for mobile robot control (2018) Expert Systems with Applications
Carlucho, I., De Paula, M., Wang S., Petillot Y.R. Acosta, G.G., Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning (2018) Robotics and Autonomous Systems.
Carlucho, I., De Paula, M., Villar, S.A., Acosta, G.G., Incremental Q-learning strategy for adaptive PID control of mobile robots (2017) Expert Systems with Applications, 80, pp. 183-199.
Congress Publications
Carlucho, I., Bailey, M.F., De Paula, M., Barbalata, C., Marine Vehicles Localization Using Grid Cells for Path Integration (2021) Submitted to Oceans 2021 - Preprint Arxiv
Scharff Willners, J., Carlucho I., Luczyński, T., Katagiri, S., Lemoine, C., Roe, J., Stephens, D., Xu, S., Carreno, Y., Pairet, E., Barbalata, C., Petillot, Y., Wang, S., From market-ready ROVs to low-cost AUVs (2021) Submitted to Oceans 2021 - Preprint Arxiv
Oubre, J.P., Carlucho, I., Barbalata C., Data-driven controllers and the need for perception systems in underwater manipulation (2021) 1st Advanced Marine Robotics TC Workshop: Active Perception, ICRA
Carlucho, I., Stephens, W.D., Barbalata, C., Insights into a data driven optimal control for energy efficient manipulation, (2020), Oceans Gulf Coast.
Carlucho, I., De Paula, M., Barbalata, C., Acosta, G.G., A reinforcement learning control approach for underwater manipulation under position and torque constraints, (2020), Oceans Gulf Coast.
Meira, M.,Carlucho, I., Álvarez, R., Catalano, L., and Acosta, G.G., DGA: A novel strategy for key gases identification in power transformers, 2020 IEEE Electrical Insulation Conference (EIC)
Acosta, G.G., Menna, B.V., Carlucho, I., De Paula, M., Villar, S., Curti, H.J., Rozenfeld, A., de la Vega, R.J., Isasmendi, A., Leegstra, R., Arrien, L.M., ICTIOBOT-40 a low cost AUV platform for acoustic imaging surveying (2019), OCEANS 2019, Marseille, France
Carlucho, I., De Paula, M., Wang, S., Menna, B., Petillot, Y.R., Acosta, G.G., AUV Position Tracking Control Using End-to-End Deep Reinforcement Learning (2018), OCEANS 2018 Charleston
Carlucho I., de la Vega R., Spina M., Acosta G.G., A Modular Battery Management System for Electric Vehicles, (2018) 2018 IEEE Biennial Congress of Argentina, ARGENCON 2018
Gianibelli A., Carlucho I., De Paula M., Acosta G.G., An obstacle avoidance system for mobile robotics based on the virtual force field method, (2018) 2018 IEEE Biennial Congress of Argentina, ARGENCON 2018
Acosta, G.G., Menna, B.V., de la Vega, R.J., Arrien, L.M., Curti, H.J., De Paula, M., Carlucho, I., Solari, F.J., Rozenfeld, A., MACÁBOT: prototipo de vehículo autónomo de superficie (ASV) (2017), IX Jornada Argentinas de Robótica JAR 2017
Carlucho, I., Menna, B., De Paula, M., Acosta, G.G., Comparison of a PID controller versus a LQG controller for an autonomous underwater vehicle (2017) 2016 3rd IEEE/OES South American International Symposium on Oceanic Engineering, SAISOE 2016, art. no. 7922475
Petit, A., Paulo, C., Carlucho, I., Menna, B., De Paula, M., Prediction of the hydrodynamic coefficients of an autonomous underwater vehicle (2017) 2016 3rd IEEE/OES South American International Symposium on Oceanic Engineering, SAISOE 2016.
De Paula, M., Carlucho, I., Rozenfeld, A., Acosta, G.G., Modeling and identification of mobile vehicles using low complexity data driven models (2016) 2016 IEEE Biennial Congress of Argentina, ARGENCON 2016, p. 20120.