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ORCIDAlvaro Javier Prado
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2020 – today
- 2025
[j7]Jose Manuel Alcayaga, Oswaldo A. Menéndez
, Miguel Torres-Torriti, Juan Pablo Vásconez, Tito Arevalo-Ramirez, Alvaro Javier Prado:
LSTM-Enhanced Deep Reinforcement Learning for Robust Trajectory Tracking Control of Skid-Steer Mobile Robots Under Terra-Mechanical Constraints. Robotics 14(6): 74 (2025)- [c4]Christian Camacho, Alvaro Javier Prado:
Slip-aware adaptive path planning for whole-body mobile manipulators using reinforcement learning. IECON 2025: 1-6 - 2024
- [j6]Katherine Aro, Leonardo Guevara, Miguel Torres-Torriti, Felipe A. Torres, Alvaro Javier Prado:
Robust Nonlinear Model Predictive Control for the Trajectory Tracking of Skid-Steer Mobile Manipulators with Wheel-Ground Interactions. Robotics 13(12): 171 (2024) - [j5]Oswaldo Menéndez, Juan Villacrés, Alvaro Javier Prado, Juan Pablo Vásconez, Fernando Alfredo Auat Cheeín:
Assessment of Triboelectric Nanogenerators for Electric Field Energy Harvesting. Sensors 24(8): 2507 (2024) - [c3]Kevin Dawson, Oswaldo Menéndez, Christian Camacho, Miguel Torres-Torriti, Alvaro Javier Prado:
On the assessment of reinforcement learning techniques for path planning of skid-steer mobile robots subject to terrain constraints. IECON 2024: 1-7 - 2023
- [c2]Katherine Aro, Octavio Zepeda, Oswaldo Menéndez, Alvaro Javier Prado:
Learning-Based Gain-Scheduling of Trajectory Tracking Controllers for Agricultural Mobile Manipulators Under Off-Road Conditions. ICAR 2023: 49-55 - 2021
- [j4]Alvaro Javier Prado, Miguel Torres-Torriti, Fernando Alfredo Auat:
Distributed Tube-Based Nonlinear MPC for Motion Control of Skid-Steer Robots With Terra-Mechanical Constraints. IEEE Robotics Autom. Lett. 6(4): 8045-8052 (2021)
2010 – 2019
- 2018
- [j3]Alvaro Javier Prado, Francisco Yandún, Miguel Torres-Torriti, Fernando Alfredo Auat Cheeín:
Overcoming the Loss of Performance in Unmanned Ground Vehicles Due to the Terrain Variability. IEEE Access 6: 17391-17406 (2018) - [j2]Alvaro Javier Prado, Maciej Marcin Michalek, Fernando Alfredo Auat Cheeín:
Machine-learning based approaches for self-tuning trajectory tracking controllers under terrain changes in repetitive tasks. Eng. Appl. Artif. Intell. 67: 63-80 (2018) - 2017
- [j1]Fernando Alfredo Auat Cheeín, Miguel Torres-Torriti, Nicolás Busch Hopfenblatt, Alvaro Javier Prado, Daniel Calabi:
Agricultural service unit motion planning under harvesting scheduling and terrain constraints. J. Field Robotics 34(8): 1531-1542 (2017) - 2016
- [c1]Alvaro Javier Prado, Fernando Alfredo Auat Cheeín, Miguel Torres-Torriti:
Probabilistic approaches for self-tuning path tracking controllers using prior knowledge of the terrain. IROS 2016: 3095-3100
Coauthor Index
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