Samuel Yanes Luis

24 papers B 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Unified Experimental Architecture for Informative Path Planning: from Simulation to Deployment with GuadalPlanner.
CoRR
Alejandro Mendoza Barrionuevo, Dame Seck Diop, Alejandro Casado Pérez, Daniel Gutiérrez-Reina, Sergio L. Toral Marín, Samuel Yanes Luis
2026 J jnl
Beyond Task Performance: A Metric-Based Analysis of Sequential Cooperation in Heterogeneous Multi-Agent Destructive Foraging.
CoRR
Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2026 J jnl
From Project-Based Learning to Service Learning: A Practical Approach.
Rev. Iberoam. de Tecnol. del Aprendiz.
Manuel A. Perales-Esteve, Samuel Yanes Luis, Alfredo Pérez Vega-Leal
2025 J jnl
Assessment of CNN-based methods for discrimination of olive planting systems with Sentinel-2 images.
Comput. Electron. Agric.
Cristina Martínez-Ruedas, Samuel Yanes Luis, Rafael Linares-Burgos, Daniel Gutiérrez-Reina, Isabel Luisa Castillejo-González
2025 J jnl
Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles With Deep Reinforcement Learning.
IEEE Robotics Autom. Lett.
Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2025 — conf
VAE-Informed Patrolling for Online Environmental Monitoring with Heterogeneous ASV-UAV Teams.
ECMR
Alex Bassot, Michele Antonazzi, Edoardo Rodiani, Samuel Yanes Luis, Matteo Luperto, Nicola Basilico
2025 J jnl
Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles.
Expert Syst. Appl.
Samuel Yanes Luis, Nicola Basilico, Michele Antonazzi, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2024 J jnl
Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Access
Dame Seck Diop, Samuel Yanes Luis, Manuel A. Perales-Esteve, Sergio L. Toral Marín, Daniel Gutiérrez-Reina
2024 J jnl
Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring.
CoRR
Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2024 J jnl
Deep Reinforcement Multiagent Learning Framework for Information Gathering with Local Gaussian Processes for Water Monitoring.
Adv. Intell. Syst.
Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2024 — conf
Deep Variational Auto-Encoder for Model-Based Water Quality Patrolling with Intelligent Surface Vehicles.
CAEPIA
Samuel Yanes Luis, Nicola Basilico, Michele Antonazzi, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2024 J jnl
Informative Deep Reinforcement Path Planning for Heterogeneous Autonomous Surface Vehicles in Large Water Resources.
IEEE Access
Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2024 J jnl
Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning.
CoRR
Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2024 J jnl
Towards an Autonomous Surface Vehicle Prototype for Artificial Intelligence Applications of Water Quality Monitoring.
CoRR
Luis Miguel Díaz, Samuel Yanes Luis, Alejandro Mendoza Barrionuevo, Dame Seck Diop, Manuel A. Perales-Esteve, Alejandro Casado, Sergio Toral, Daniel Gutiérrez-Reina
2023 J jnl
Censored deep reinforcement patrolling with information criterion for monitoring large water resources using Autonomous Surface Vehicles.
Appl. Soft Comput.
Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2023 — ch.
Deep Reinforcement Learning Applied to Multi-agent Informative Path Planning in Environmental Missions.
Mobile Robot: Motion Control and Path Planning
Samuel Yanes Luis, Manuel A. Perales-Esteve, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2022 J jnl
An evolutionary multi-objective path planning of a fleet of ASVs for patrolling water resources.
Eng. Appl. Artif. Intell.
Samuel Yanes Luis, Federico Peralta, Alejandro Tapia Córdoba, Álvaro Rodríguez del Nozal, Sergio L. Toral Marín, Daniel Gutiérrez-Reina
2022 J jnl
Censored Deep Reinforcement Patrolling with Information Criterion for Monitoring Large Water Resources using Autonomous Surface Vehicles.
CoRR
Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2022 — conf
Maximum Information Coverage and Monitoring Path Planning with Unmanned Surface Vehicles Using Deep Reinforcement Learning.
OLA
Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio Toral
2021 J jnl
A Dimensional Comparison between Evolutionary Algorithm and Deep Reinforcement Learning Methodologies for Autonomous Surface Vehicles with Water Quality Sensors.
Sensors
Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2021 J jnl
A Multiagent Deep Reinforcement Learning Approach for Path Planning in Autonomous Surface Vehicles: The Ypacaraí Lake Patrolling Case.
IEEE Access
Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2021 B conf
A Sample-Efficiency Comparison Between Evolutionary Algorithms and Deep Reinforcement Learning for Path Planning in an Environmental Patrolling Mission.
CEC
Samuel Yanes Luis, Federico Peralta Samaniego, Daniel Gutiérrez-Reina, Sergio L. Toral Marín
2021 B conf
Monitoring Water Resources through a Bayesian Optimization-based Approach using Multiple Surface Vehicles: The Ypacarai Lake Case Study.
CEC
Federico Peralta, Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio Toral
2020 J jnl
A Deep Reinforcement Learning Approach for the Patrolling Problem of Water Resources Through Autonomous Surface Vehicles: The Ypacarai Lake Case.
IEEE Access
Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín