Two key competencies for mobile robotic systems are localization and semantic context
interpretation. Recently, vision has become the modality of choice for these problems as it …

This paper describes a dataset collected in an industrial setting using a mobile unit
resembling an industrial vehicle equipped with several sensors. Wi-Fi interfaces collect …

In this work, a deep learning tool is developed and evaluated to carry out the visual
localization task for mobile autonomous robotics. Through deep learning, a convolutional …

Feature matching has been frequently applied in computer vision and pattern recognition. In
this paper, the authors propose a fast feature matching algorithm for vector‐based feature …

In order to solve the problem of indoor place recognition for indoor service robot, a novel
algorithm, clustering of features and images (CFI), is proposed in this work. Different from …

This paper presents a novel approach for robot semantic place recognition (SPR) based on
Restricted Boltzmann Machines (RBMs) and a direct use of tiny images. RBMs are able to …

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

La robótica se ha convertido a lo largo de décadas en una de las ramas más importantes de
la ciencia, lo que ha supuesto un gran desarrollo e investigación en torno a este tema, hasta …

Usually, human beings are able to quickly distinguish between different places, solely from
their visual appearance. This is due to the fact that they can organize their space as …

El objeto de estudio del trabajo reside en el análisis de descriptores holísticos obtenidos a
través de deep learning, concretamente de redes neuronales convolucionales, para su …