A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data
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 …
robots are more commonly proposed to solve different tasks autonomously. The use of …
RGB-D object SLAM using quadrics for indoor environments
Indoor service robots need to build an object-centric semantic map to understand and
execute human instructions. Conventional visual simultaneous localization and mapping …
execute human instructions. Conventional visual simultaneous localization and mapping …
Development and use of a convolutional neural network for hierarchical appearance-based localization
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 …
Network (CNN) with the aim of tackling the visual localization of a mobile robot by means of …
A cnn regression approach to mobile robot localization using omnidirectional images
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 …
sense, Convolutional Neural Networks (CNNs) can provide holistic descriptors of a scene …
Hierarchical localization in topological models under varying illumination using holistic visual descriptors
In this paper, a hierarchical localization framework within indoor environments is proposed
and evaluated, considering severe variations of the illumination conditions. The only source …
and evaluated, considering severe variations of the illumination conditions. The only source …
Holistic descriptors of omnidirectional color images and their performance in estimation of position and orientation
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 …
examples can be found in the literature. This work focuses on the problem of map building …
Training, optimization and validation of a CNN for room retrieval and description of omnidirectional images
JJ Cabrera, S Cebollada, M Flores, Ó Reinoso… - SN Computer …, 2022 - Springer
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 …
neural network (CNN) to address the localization of a mobile robot. The localization problem …
[PDF][PDF] A Deep Learning Tool to Solve Localization in Mobile Autonomous Robotics.
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 …
localization task for mobile autonomous robotics. Through deep learning, a convolutional …
Environment modeling and localization from datasets of omnidirectional scenes using machine learning techniques
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 …
used to estimate the position of a mobile robot by means of artificial intelligence techniques …
Creating incremental models of indoor environments through omnidirectional imaging
In this work, an incremental clustering approach to obtain compact hierarchical models of an
environment is developed and evaluated. This process is performed using an …
environment is developed and evaluated. This process is performed using an …