| 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 | 186 | 2018 |
| A current monitoring system for diagnosing electrical failures in induction motors GG Acosta, CJ Verucchi, ER Gelso Mechanical Systems and Signal Processing 20 (4), 953-965, 2006 | 177 | 2006 |
| 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 | 138 | 2020 |
| 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 | 122 | 2017 |
| Synthesis and characterization of polyaniline and polyaniline–carbon nanotubes nanostructures for electrochemical supercapacitors MA Bavio, GG Acosta, T Kessler Journal of Power sources 245, 475-481, 2014 | 119 | 2014 |
| Misalignment detection in induction motors with flexible coupling by means of estimated torque analysis and MCSA C Verucchi, J Bossio, G Bossio, G Acosta Mechanical Systems and Signal Processing 80, 570-581, 2016 | 104 | 2016 |
| Flexible symmetric and asymmetric supercapacitors based in nanocomposites of carbon cloth/polyaniline-carbon nanotubes MA Bavio, GG Acosta, T Kessler, A Visintin Energy 130, 22-28, 2017 | 81 | 2017 |
| Accumulated CA–CFAR process in 2-D for online object detection from sidescan sonar data GG Acosta, SA Villar IEEE Journal of Oceanic Engineering 40 (3), 558-569, 2014 | 81 | 2014 |
| Double Q-PID algorithm for mobile robot control I Carlucho, M De Paula, GG Acosta Expert Systems with Applications 137, 292-307, 2019 | 66 | 2019 |
| Median Filtering: A New Insight SA Villar, S Torcida, GG Acosta Journal of Mathematical Imaging and Vision 58 (1), 130-146, 2016 | 66 | 2016 |
| A review on fault diagnosis of induction machines CJ Verucchi, GG Acosta, FA Benger Latin American applied research 38 (2), 113-121, 2008 | 63 | 2008 |
| 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 | 62 | 2018 |
| Behavioral control through evolutionary neurocontrollers for autonomous mobile robot navigation JA Fernandez-Leon, GG Acosta, MA Mayosky Robotics and Autonomous Systems 57 (4), 411-419, 2009 | 59 | 2009 |
| Activated carbon from olive tree pruning residue for symmetric solid-state supercapacitor MF Ponce, A Mamani, F Jerez, J Castilla, PB Ramos, GG Acosta, ... Energy 260, 125092, 2022 | 48 | 2022 |
| Polyaniline and polyaniline-carbon black nanostructures as electrochemical capacitor electrode materials MA Bavio, GG Acosta, T Kessler international journal of hydrogen energy 39 (16), 8582-8589, 2014 | 44 | 2014 |
| Genetic algorithms and fuzzy control: a practical synergism for industrial applications G Acosta, E Todorovich Computers in Industry 52 (2), 183-195, 2003 | 42 | 2003 |
| Trajectory tracking algorithm for autonomous vehicles using adaptive reinforcement learning M De Paula, GG Acosta OCEANS 2015-MTS/IEEE Washington, 1-8, 2015 | 40 | 2015 |
| Fault detection and diagnosis techniques in induction electrical machines CJ Verucchi, GG Acosta IEEE Latin America Transactions 5 (1), 41-49, 2007 | 40 | 2007 |
| Study of double perovskite La2B (II) MnO6 (B: Ni, Co, Cu) as electrode materials for energy storage MA Bavio, JE Tasca, GG Acosta, MF Ponce, RO Fuentes, A Visintin Journal of Solid State Electrochemistry 24 (3), 699-710, 2020 | 39 | 2020 |
| Artificial potential fields for the obstacles avoidance system of an AUV using a mechanical scanning sonar FJ Solari, AF Rozenfeld, SA Villar, GG Acosta 2016 3rd IEEE/OES South American International Symposium on Oceanic …, 2016 | 38 | 2016 |
Mariano De PaulaINTELYMEC – Centro de Investigaciones en Física e Ingeniería del Centro – CIFICEN – CONICETEmail được xác minh tại fio.unicen.edu.ar
