Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …

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 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 …

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 …

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 …

The industry desire highly precise mobile robot docking solutions that are robust, reliable,
scalable, cheap, and efficient. It is beneficial to have highly precise docking of mobile robots …

Autonomous robots should be able to carry out localization and map creation in highly
heterogeneous zones. In this work, global appearance descriptors are tested to perform the …

En este trabajo, se evalúan diferentes descriptores de apariencia global o descriptores
holísticos para llevar a cabo la tarea de localización, que es una habilidad crucial para los …