Samuel Yanes Luis
Email: Solicitar correo
Perfil en ORCID: 0000-0002-7796-3599

Grupo de Investigación: TIC-201 ACE-Ti
Departamento/Unidad: Tecnología Electrónica
Situación profesional: Profesor Ayudante Doctor

Participa en los siguientes proyectos/ayudas en la US:

• Proyecto de investigación:
  • Monitorization of Environmental Dangers with Unmanned Surface Agents: (MEDUSA) (PCM_00019 - Equipo Trabajo (Solicitud))
  • Gestión del Aprendizaje y Planificación de Flotas de Vehículos Acuáticos No Tripulados para la Monitorización de Masas de Agua Superficiales (PID2021-126921OB-C21 - Equipo Trabajo (Solicitud))
  • Sistema de Detección de Residuos en Entornos Portuarios mediante Flota Vehículos Autónomos de Superficie (TED2021-131326B-C21 - Equipo Trabajo (Solicitud))
  • Desarrollo de nuevas tecnologías WiFi inteligentes en entornos móviles y con alta densidad de usuarios (P18-TP-1520 - Equipo Colaborador (altas/bajas))
  • Despliegue Adaptativo de Vehículos no Tripulados para Gestión Ambiental en Escenarios Dinámicos (RTI2018-098964-B-I00 - Contratado)
  • Despliegue Inteligente de una red de Vehículos Acuáticos no Tripulados para la monitorización de Recursos Hídricos (US-1257508 - Equipo Colaborador (altas/bajas))
  
  
• Contrato con empresas (Arts. 68/83 LOU):
  • Prototipo Preindustrial de un Rov con Sistema de Sensorización y Comunicación Mixta LIFI-5G (5128/1103 - Investigador)
  • RCP Dispositivo de Gestión de Estaciones (5176/2069 - Investigador)
  • Validation and robustness improvement of communication circuitry in industrial heliostat parks (4767/2004 - Equipo Trabajo (Solicitud))
  • Elaboración de un modelo predictivo de producción agrícola basado en técnicas de inteligencia artificial (4682/1103 - Otro Investigador)
  • Desarrollo de etiquetas WiFi para localización en espacios interiores: WiFiTags (4173/1103 - Otro Investigador)
  
  

Cobertura de la base de datos de proyectos, véase aqui

Publicaciones:

Libros

Gutierrez Reina, Daniel, Yanes, Samuel, García Campos, José Manuel, Toral Marin, Sergio:
Aplicaciones Electrónicas Para Raspberry Pi con Python. . Barcelona. Marcombo. 2025. 248. ISBN 978-84-267-4026-7

Capítulos en Libros

Yanes, Samuel, Basilico, Nicola, Antonazzi, Michele, Gutierrez Reina, Daniel, Toral Marin, Sergio:
Deep Variational Auto-Encoder for Model-Based Water Quality Patrolling with Intelligent Surface Vehicles. Pag. 19-28. En: Lecture Notes in Computer Science. Springer. 2024

Yanes, Samuel, Perales Esteve, Manuel Angel, Gutierrez Reina, Daniel, Toral Marin, Sergio:
Deep Reinforcement Learning Applied to Multi-agent Informative Path Planning in Environmental Missions. Pag. 31-61. En: Mobile Robot: Motion Control and Path Planning. Springer. 2023. ISBN 978-3-031-26564-8

Martinez, Cristina, Yanes, Samuel, Díaz Cabrera, Juan Manuel, Gutierrez Reina, Daniel, Galvin, Adela, et. al.:
Convolutional Neural Networks for Planting System Detection of Olive Groves. Pag. 373-399. En: Innovations in Machine and Deep Learning. Springer. 2023. ISBN 978-3-031-40687-4

Publicaciones en Revistas

Martín Hoz, Laura, Yanes, Samuel, Huerta, Jerónimo, Gutierrez Reina, Daniel, Franco, Evelia:
A Comparative Study of BERT-Based Models for Teacher Classification in Physical Education. En: Electronics. 2025. Vol. 14. 10.3390/electronics14193849

Yanes, Samuel, Gutierrez Reina, Daniel, Toral Marin, Sergio:
Towards a Retrieval-Augmented Generation Framework for Originality Evaluation in Projects-Based Learning Classrooms. En: Education Sciences. 2025. Vol. 2025. https://doi.org/10.3390/educsci15060706

Mendoza, Alejandro, Yanes, Samuel, Gutierrez Reina, Daniel, Toral Marin, Sergio:
Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning. En: IEEE Robotics and Automation Letters. 2025. Vol. 10. Núm. 5. Pag. 4930-4937. 10.1109/Lra.2025.3555940

Martínez Rueda, Cristina, Yanes, Samuel, Linares Burgos, Rafael, Gutierrez Reina, Daniel, Castillejo González, Isabel Luisa:
Assessment of CNN-based methods for discrimination of olive planting systems with Sentinel-2 images. En: Computers and Electronics in Agriculture. 2025. https://doi.org/10.1016/j.compag.2025.110311

Casado, Alejandro, Yanes, Samuel, Toral Marin, Sergio, Perales Esteve, Manuel Angel, Gutierrez Reina, Daniel:
Variational Autoencoder for the Prediction of Oil Contamination Temporal Evolution in Water Environments. En: Sensors. 2025. https://doi.org/10.3390/s25061654

Yanes, Samuel, Basilico, Nicola, Antonazzi, Michele, Gutierrez Reina, Daniel, Toral Marin, Sergio:
Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles. En: Expert Systems With Applications. 2025. Vol. 270. Núm. 25. https://doi.org/10.1016/j.eswa.2025.126483

Seck Diop, Dame, Yanes, Samuel, Perales Esteve, Manuel Angel, Toral Marin, Sergio, Gutierrez Reina, Daniel:
Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning Approach. En: IEEE Access. 2024. Vol. 12. 10.1109/Access.2024.3403790

Mendoza, Alejandro, Yanes, Samuel, Gutierrez Reina, Daniel, Toral Marin, Sergio:
Informative Deep Reinforcement Path Planning for Heterogeneous Autonomous Surface Vehicles in large water resources. En: IEEE Access. 2024. Vol. 12. 10.1109/Access.2024.3402980

Yanes, Samuel, Gutierrez Reina, Daniel, Toral Marin, Sergio:
Censored Deep Reinforcement Patrolling with Information Criterion for Monitoring Large Water Resources using Autonomous Surface Vehicles. En: Applied Soft Computing. 2023. Vol. 132. Pag. 1-17. https://doi.org/10.1016/j.asoc.2022.109874

Martinez, Cristina, Yanes, Samuel, Díaz Cabrera, Juan Manuel, Gutierrez Reina, Daniel, Linares Burgos, Rafael, et. al.:
Detection of Planting Systems in olive groves based on Open Source High Resolution Images and Convolutional Neural Networks. En: Agronomy. 2022. Vol. 12. Núm. 1. Pag. 1-15. https://doi.org/10.3390/agronomy12112700

Yanes, Samuel, Peralta, Federico, Tapia, Alejandro, Rodríguez, Álvaro, Toral Marin, Sergio, et. al.:
An evolutionary multi-objective path planning of a fleet of ASVs for patrolling water resources. En: Engineering Applications Of Artificial Intelligence. 2022. Vol. 112. https://doi.org/10.1016/j.engappai.2022.104852

Yanes, Samuel, Gutierrez Reina, Daniel, Toral Marin, Sergio:
A Dimensional Comparison Between Evolutionary Algorithm and Deep Reinforcement Learning Methodologies for Autonomous Surface Vehicles with Water Quality Sensors. En: Sensors. 2021

Yanes, Samuel, Gutierrez Reina, Daniel, Toral Marin, Sergio:
A Multiagent Deep Reinforcement Learning Approach for Path Planning in Autonomous Surface Vehicles: The Ypacaraí Lake Patrolling Case. En: IEEE Access. 2021

Yanes, Samuel, Gutierrez Reina, Daniel, Toral Marin, Sergio:
A Deep Reinforcement Learning Approach for the Patrolling Problem of Water Resources Through Autonomous Surface Vehicles: The Ypacarai Lake Case. En: IEEE Access. 2020. 10.1109/Access.2020.3036938

Aportaciones a Congresos

Yanes, Samuel:
A Sample-Efficiency Comparison Between Evolutionary Algorithms and Deep Reinforcement Learning for Path Planning in an Environmental Patrolling Mission. Ponencia en Congreso. IEEE Congress on Evolutionary Computation. Cracovia (Polonia). 2021

Peralta, Federico, Yanes, Samuel, Gutierrez Reina, Daniel, Toral Marin, Sergio:
Monitoring Water Resources through a Bayesian Optimization-based Approach using Multiple Surface Vehicles: The Ypacarai Lake Case Study. Comunicación en congreso. IEEE Congress on Evolutionary Computation. Cracovia. 2021

Yanes, Samuel, Peralta, Federico, Gutierrez Reina, Daniel, Toral Marin, Sergio:
A Sample-Efficiency Comparison Between Evolutionary Algorithms and Deep Reinforcement Learning for Path Planning in an Environmental Patrolling Mission. Comunicación en congreso. IEEE Congress on Evolutionary Computation. Ciclo itinerante (Varsovia, Cracovia, Sao Paulo, Río de Janeiro, Recife, El Cairo, Manchester, Leeds..). 2021