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 …

Indoor service robots need to build an object-centric semantic map to understand and
execute human instructions. Conventional visual simultaneous localization and map** …

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 …

Understanding the environment is an essential ability for robots to be autonomous. In this
sense, Convolutional Neural Networks (CNNs) can provide holistic descriptors of a scene …

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 …

The main objective of this paper is to tackle visual localization, which is essential for the safe
navigation of mobile robots. The solution we propose employs panoramic images and triplet …

In this paper, a hierarchical localization framework within indoor environments is proposed
and evaluated, considering severe variations of the illumination conditions. The only source …

The use of visual sensors in robotic navigation tasks is a common approach, and numerous
examples can be found in the literature. This work focuses on the problem of map building …

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 …

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 …