A comparison of local path planning techniques of autonomous surface vehicles for monitoring applications: The ypacarai lake case-study
Local path planning is important in the development of autonomous vehicles since it allows
a vehicle to adapt their movements to dynamic environments, for instance, when obstacles …
a vehicle to adapt their movements to dynamic environments, for instance, when obstacles …
A bayesian optimization approach for water resources monitoring through an autonomous surface vehicle: The ypacarai lake case study
Bayesian Optimization is a sequential method for obtaining the maximum of an unknown
function that has gained much popularity in recent years. Bayesian Optimization is …
function that has gained much popularity in recent years. Bayesian Optimization is …
A bayesian optimization approach for multi-function estimation for environmental monitoring using an autonomous surface vehicle: Ypacarai lake case study
Bayesian optimization is a sequential method that can optimize a single and costly objective
function based on a surrogate model. In this work, we propose a Bayesian optimization …
function based on a surrogate model. In this work, we propose a Bayesian optimization …
A robotic complex control method based on deep reinforcement learning of recurrent neural networks for automatic harvesting of greenhouse crops
V Petrenko, F Tebueva, V Antonov… - … for Intelligent Decision …, 2020 - atlantis-press.com
The modern development of technology determines the feasibility of the transition in
agriculture from manual labor to automatic production. One of the promising areas is the …
agriculture from manual labor to automatic production. One of the promising areas is the …
[引用][C] Intelligent Online Water Quality Monitoring through multiple Autonomous Surface Vehicles using the Bayesian Optimization Framework
F Peralta Samaniego - 2022