Nowadays, the field of mobile robotics has experienced an important evolution and these
robots are more commonly proposed to solve different tasks autonomously. The use of …

This paper considers the task of appearance-based localization: visual place recognition
from omnidirectional images obtained from catadioptric cameras. The focus is on designing …

The objective of this paper is to address the localization problem using omnidirectional
images captured by a catadioptric vision system mounted on the robot. For this purpose, we …

This paper reports and evaluates the adaption and re-training of a Convolutional Neural
Network (CNN) with the aim of tackling the visual localization of a mobile robot by means of …

The aim of this paper is to achieve the optimal hyperparameters setup of a convolutional
neural network (CNN) to address the localization of a mobile robot. The localization problem …

This work presents a framework to create a visual model of the environment which can be
used to estimate the position of a mobile robot by means of artificial intelligence techniques …

Since seamless tracking of the underwater target is crucial for various underwater
applications, we propose a fusion algorithm combining deep learning and reinforcement …

This paper reports and evaluates the training optimization process of a Convolutional Neural
Network (CNN) with the aim of addressing the localization of a mobile robot. The proposed …

The present work introduces a study about the use of a deep learning tool to tackle the
visual localization. The approach proposed consists in developing a Convolutional Neural …

El objetivo es abordar la tarea de localización de un robot autónomo móvil empleando
algoritmos basados en el aprendizaje profundo (diseño y entrenamiento de una CNN) y la …