AquaFeL-PSO: An informative path planning for water resources monitoring using autonomous surface vehicles based on multi-modal PSO and federated learning

MJ Ten Kathen, F Peralta, P Johnson, IJ Flores… - Ocean …, 2024 - Elsevier
The preservation, monitoring, and control of large water resources has been a major
challenge in recent decades. To ensure the quality of water resources, it is necessary to …

[HTML][HTML] An evolutionary multi-objective path planning of a fleet of ASVs for patrolling water resources

SY Luis, F Peralta, AT Córdoba, ÁR del Nozal… - … Applications of Artificial …, 2022 - Elsevier
The rapid increase of human activities with direct influence on the environment has
motivated the global awareness of the need to efficiently monitor the natural resources …

An informative path planner for a swarm of asvs based on an enhanced pso with gaussian surrogate model components intended for water monitoring applications

MJT Kathen, IJ Flores, DG Reina - Electronics, 2021 - mdpi.com
Controlling the water quality of water supplies has always been a critical challenge, and
water resource monitoring has become a need in recent years. Manual monitoring is not …

Water quality online modeling using multi-objective and multi-agent Bayesian Optimization with region partitioning

F Peralta, DG Reina, S Toral - Mechatronics, 2023 - Elsevier
Monitoring water resources and their quality is an activity that is gaining more importance
through the years. Efficient and intelligent monitoring systems must be developed by taking …

Aquahet-pso: An informative path planner for a fleet of autonomous surface vehicles with heterogeneous sensing capabilities based on multi-objective pso

MJ Ten Kathen, FP Samaniego, IJ Flores… - IEEE Access, 2023 - ieeexplore.ieee.org
The importance of monitoring and evaluating the quality of water resources has significantly
grown over time. To achieve this effectively, an option is to employ an intelligent monitoring …

Aquafel-pso: A monitoring system for water resources using autonomous surface vehicles based on multimodal pso and federated learning

MJT Kathen, P Johnson, IJ Flores - arXiv preprint arXiv:2211.15217, 2022 - arxiv.org
The preservation, monitoring, and control of water resources has been a major challenge in
recent decades. Water resources must be constantly monitored to know the contamination …

[HTML][HTML] Censored deep reinforcement patrolling with information criterion for monitoring large water resources using Autonomous Surface Vehicles

SY Luis, D Gutiérrez-Reina, ST Marín - Applied Soft Computing, 2023 - Elsevier
Monitoring and patrolling large water resources is a major challenge for nature
conservation. The problem of acquiring data of an underlying environment that usually …

A comparison of pso-based informative path planners for autonomous surface vehicles for water resource monitoring

M Carolina Jara Ten Kathen, I Jurado Flores… - Proceedings of the …, 2022 - dl.acm.org
Preserving water resources is an objective that is constantly being pursued. Monitoring the
aquatic environments is an action to fulfill this objective, since the state of the water quality …

Deep reinforcement learning applied to multi-agent informative path planning in environmental missions

S Yanes Luis, M Perales Esteve… - Mobile Robot: Motion …, 2023 - Springer
Abstract Deep Reinforcement Learning algorithms have gained attention lately due to their
ability to solve complex decision problems with a model-free and zero-derivative approach …

[PDF][PDF] A comparison of pso-based informative path planners for detecting pollution peaks of the ypacarai lake with autonomous surface vehicles

MJ Ten Kathen, DG Reina, IJ Flores - International Conference on …, 2022 - researchgate.net
The appearance of cyanobacteria in the Ypacarai Lake, Paraguay, is affecting not only the
ecosystem but also the public health and the local economy [1]. Several works based on …