5 papers · 1 filter
Uncertainty Estimation for Deep Reconstruction in Actuatic Disaster Scenarios with Autonomous Vehicles
Samuel Yanes Luis, Alejandro Casado Pérez, Alejandro Mendoza Barrionuevo +3
Accurate reconstruction of environmental scalar fields from sparse onboard observations is essential for autonomous vehicles engaged in aquatic monitoring. Beyond point estimates,…
A Unified Experimental Architecture for Informative Path Planning: from Simulation to Deployment with GuadalPlanner
Alejandro Mendoza Barrionuevo, Dame Seck Diop, Alejandro Casado Pérez +3
The evaluation of informative path planning algorithms for autonomous vehicles is often hindered by fragmented execution pipelines and limited transferability between simulation an…
Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning
Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutiérrez Reina +1
This paper presents a model-free deep reinforcement learning framework for informative path planning with heterogeneous fleets of autonomous surface vehicles to locate and collect…
Towards an Autonomous Surface Vehicle Prototype for Artificial Intelligence Applications of Water Quality Monitoring
Luis Miguel Díaz, Samuel Yanes Luis, Alejandro Mendoza Barrionuevo +5
The use of Autonomous Surface Vehicles, equipped with water quality sensors and artificial vision systems, allows for a smart and adaptive deployment in water resources environment…
Censored Deep Reinforcement Patrolling with Information Criterion for Monitoring Large Water Resources using Autonomous Surface Vehicles
Samuel Yanes Luis, Daniel Gutiérrez Reina, Sergio Toral Marín
Monitoring and patrolling large water resources is a major challenge for conservation. The problem of acquiring data of an underlying environment that usually changes within time i…