| Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning I Carlucho, M De Paula, S Wang, Y Petillot, GG Acosta Robotics and Autonomous Systems 107, 71-86, 2018 | 87 | 2018 |
| Incremental Q-learning strategy for adaptive PID control of mobile robots I Carlucho, M De Paula, SA Villar, GG Acosta Expert Systems with Applications 80, 183-199, 2017 | 69 | 2017 |
| An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots I Carlucho, M De Paula, GG Acosta ISA transactions 102, 280-294, 2020 | 35 | 2020 |
| Double Q-PID algorithm for mobile robot control I Carlucho, M De Paula, GG Acosta Expert Systems with Applications 137, 292-307, 2019 | 25 | 2019 |
| AUV Position Tracking Control Using End-to-End Deep Reinforcement Learning I Carlucho, M De Paula, S Wang, BV Menna, YR Petillot, GG Acosta OCEANS 2018 MTS/IEEE Charleston, 1-8, 2018 | 25 | 2018 |
| Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids L Avila, M De Paula, M Trimboli, I Carlucho Applied Soft Computing 97, 106711, 2020 | 16 | 2020 |
| MPPT for PV systems using deep reinforcement learning algorithms L Avila, M De Paula, I Carlucho, CS Reinoso IEEE Latin America Transactions 17 (12), 2020-2027, 2019 | 10 | 2019 |
| Comparison of a PID controller versus a LQG controller for an autonomous underwater vehicle I Carlucho, B Menna, M De Paula, GG Acosta 2016 3rd IEEE/OES South American International Symposium on Oceanic …, 2016 | 7 | 2016 |
| Prediction of the hydrodynamic coefficients of an autonomous underwater vehicle A Petit, C Paulo, I Carlucho, B Menna, M De Paula 2016 3rd IEEE/OES South American International Symposium on Oceanic …, 2016 | 7 | 2016 |
| Macabot: prototipo de vehiculo autonomo de superficie (asv) GG Acosta, B Menna, R de La Vega, L Arrien, H Curti, S Villar, R Leegstra, ... XI Jornadas Argentinas de Robotica, 2017 | 6 | 2017 |
| A Modular Battery Management System for Electric Vehicles I Carlucho, R de la Vega, M Spina, GG Acosta 2018 IEEE Biennial Congress of Argentina (ARGENCON), 1-6, 2018 | 4 | 2018 |
| An adaptive data-driven controller for underwater manipulators with variable payload I Carlucho, DW Stephens, C Barbalata Applied Ocean Research 113, 102726, 2021 | 3 | 2021 |
| Modelado e identificación de vehículos móviles usando modelos de baja complejidad basados en datos M De Paula, I Carlucho, A Rozenfeld, GG Acosta 2016 IEEE Biennial Congress of Argentina (ARGENCON), 1-6, 2016 | 3 | 2016 |
| Macábot: Prototipo de vehículo autónomo de superficie (asv) RC Leegstra, M De Paula, I Carlucho, FJ Solari, AF Rozenfeld, GG Acosta, ... Revista Tecnología y Ciencia, 142-154, 2019 | 2 | 2019 |
| Ictiobot-40 a low cost AUV platform for acoustic imaging surveying GG Acosta, BV Menna, I Carlucho, M De Paula, SA Villar, HJ Curti, ... OCEANS 2019-Marseille, 1-10, 2019 | 2 | 2019 |
| DGA: A novel strategy for key gases identification in power transformers M Meira, I Carlucho, R Álvarez, L Catalano, G Acosta 2020 IEEE Electrical Insulation Conference (EIC), 290-293, 2020 | 1 | 2020 |
| Comparación de controlador PID versus control lineal LQG para un móvil autónomo submarino I Carlucho, B Menna, M De Paula, GG Acosta IEEE 15, 28, 2019 | 1 | 2019 |
| An obstacle avoidance system for mobile robotics based on the virtual force field method A Gianibelli, I Carlucho, M De Paula, GG Acosta 2018 IEEE Biennial Congress of Argentina (ARGENCON), 1-8, 2018 | 1 | 2018 |
| MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments G Vecchio, S Palazzo, DC Guastella, I Carlucho, SV Albrecht, G Muscato, ... arXiv preprint arXiv:2205.08389, 2022 | | 2022 |
| A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems R Mirsky, I Carlucho, A Rahman, E Fosong, W Macke, M Sridharan, ... arXiv preprint arXiv:2202.10450, 2022 | | 2022 |
Mariano De PaulaINTELYMEC – Centro de Investigaciones en Física e Ingeniería del Centro – CIFICEN – CONICETVerified email at fio.unicen.edu.ar
