Gerardo Acosta
Citado por
Citado por
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
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
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
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
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
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
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
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
A review on fault diagnosis of induction machines
CJ Verucchi, GG Acosta, FA Benger
Latin American applied research 38 (2), 113-121, 2008
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
Median Filtering: A New Insight
SA Villar, S Torcida, GG Acosta
Journal of Mathematical Imaging and Vision 58 (1), 130-146, 2016
Double Q-PID algorithm for mobile robot control
I Carlucho, M De Paula, GG Acosta
Expert Systems with Applications 137, 292-307, 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
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
Genetic algorithms and fuzzy control: a practical synergism for industrial applications
G Acosta, E Todorovich
Computers in Industry 52 (2), 183-195, 2003
Trajectory tracking algorithm for autonomous vehicles using adaptive reinforcement learning
M De Paula, GG Acosta
OCEANS 2015-MTS/IEEE Washington, 1-8, 2015
Evaluation of an efficient approach for target tracking from acoustic imagery for the perception system of an autonomous underwater vehicle
SA Villar, GG Acosta, AL Sousa, A Rozenfeld
International Journal of Advanced Robotic Systems 11 (2), 24, 2014
Basic tasks for knowledge-based supervision in process control
G Acosta, CA González, B Pulido
Engineering Applications of Artificial Intelligence 14 (4), 441-455, 2001
Fault detection and diagnosis techniques in induction electrical machines
CJ Verucchi, GG Acosta
IEEE Latin America Transactions 5 (1), 41-49, 2007
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
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