Mariano De Paula

According to our database, Mariano De Paula authored at least 18 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Massive Parallel Deep Reinforcement Learning for Active SLAM.

Martín Arce Llobera, Julio A. Placed, Mariano De Paula, Pablo De Cristóforis

CoRR, March, 2026

Rat-SLAM with neuromorphic computing.

Bernardo Manuel Pirozzo, Jose A. Fernandez-Leon, Mariano De Paula, Rodrigo Picos, Gerardo Gabriel Acosta

Neurocomputing, 2026

2025

Simulation-based metaheuristic optimization algorithm for material handling.

Carolina Saavedra Sueldo, Ivo Perez Colo, Mariano De Paula, Sebastián A. Villar, Gerardo G. Acosta

J. Intell. Manuf., March, 2025

Self-adaptive solution for industrial integration of AI-based decision-making systems for industrial flows management.

Ivo Perez Colo, Carolina Saavedra Sueldo, Luis Omar Ávila, Geraldina Roark, Gerardo G. Acosta, Mariano De Paula

J. Ind. Inf. Integr., 2025

Towards Bioinspired Localization and Mapping with Neuromorphic Computing.

Bernardo Manuel Pirozzo, Mariano De Paula, Sebastián A. Villar, Bruno Pirozzo, Federico Bernart, Gerardo Gabriel Acosta

Proceedings of the IEEE International Conference on Advanced Robotics, 2025

2024

SME Users in Industry 4.0. Study of the Metalworking Industry in Argentina.

Alicia Mon, Horacio René Del Giorgio, Geraldina Yesica Roark, Carolina Saavedra Sueldo, Ivo Perez Colo, Mariano De Paula

Proceedings of the Human-Computer Interaction - 10th Iberoamerican Conference, 2024

2023

Intelligent approach for the industrialization of deep learning solutions applied to fault detection.

Ivo Perez Colo, Carolina Saavedra Sueldo, Mariano De Paula, Gerardo G. Acosta

Expert Syst. Appl., December, 2023

ROS-based architecture for fast digital twin development of smart manufacturing robotized systems.

Carolina Saavedra Sueldo, Ivo Perez Colo, Mariano De Paula, Sebastián A. Villar, Gerardo G. Acosta

Ann. Oper. Res., March, 2023

2021

Marine Vehicles Localization Using Grid Cells for Path Integration.

Ignacio Carlucho, Manuel F. Bailey, Mariano De Paula, Corina Barbalata

CoRR, 2021

2020

A reinforcement learning control approach for underwater manipulation under position and torque constraints.

Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta, Corina Barbalata

CoRR, 2020

Deep reinforcement learning approach for MPPT control of partially shaded PV systems in Smart Grids.

Luis Omar Ávila, Mariano De Paula, Maximiliano Trimboli, Ignacio Carlucho

Appl. Soft Comput., 2020

2019

Double <i>Q</i>-PID algorithm for mobile robot control.

Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta

Expert Syst. Appl., 2019

2018

Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning.

Ignacio Carlucho, Mariano De Paula, Sen Wang, Yvan R. Petillot, Gerardo G. Acosta

Robotics Auton. Syst., 2018

Robust insulin estimation under glycemic variability using Bayesian filtering and Gaussian process models.

Luis Omar Ávila, Mariano De Paula, Ernesto C. Martínez, Marcelo Luis Errecalde

Biomed. Signal Process. Control., 2018

Estimation of plasma insulin concentration under glycemic variability using nonlinear filtering techniques.

Luis Omar Ávila, Mariano De Paula, Carlos Roberto Sanchez-Reinoso

Biosyst., 2018

2017

Incremental Q-learning strategy for adaptive PID control of mobile robots.

Ignacio Carlucho, Mariano De Paula, Sebastián A. Villar, Gerardo G. Acosta

Expert Syst. Appl., 2017

2015

On-line policy learning and adaptation for real-time personalization of an artificial pancreas.

Mariano De Paula, Gerardo G. Acosta, Ernesto C. Martínez

Expert Syst. Appl., 2015

Controlling blood glucose variability under uncertainty using reinforcement learning and Gaussian processes.

Mariano De Paula, Luis Omar Ávila, Ernesto C. Martínez

Appl. Soft Comput., 2015