A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data

S Cebollada, L Payá, M Flores, A Peidró… - Expert Systems with …, 2021 - Elsevier
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 …

Applications of Machine Learning in Real-Time Control Systems: A Review

X Zhao, Y Sun, Y Li, N Jia, J Xu - Measurement Science and …, 2024 - iopscience.iop.org
Real-time control systems (RTCS) have become an indispensable part of modern industry,
finding widespread applications in fields such as robotics, intelligent manufacturing and …

An evaluation of CNN models and data augmentation techniques in hierarchical localization of mobile robots

JJ Cabrera, OJ Céspedes, S Cebollada, O Reinoso… - Evolving Systems, 2024 - Springer
This work presents an evaluation of CNN models and data augmentation to carry out the
hierarchical localization of a mobile robot by using omnidirectional images. In this sense, an …

Parallel gym gazebo: a scalable parallel robot deep reinforcement learning platform

Z Liang, Z Cai, M Li, W Yang - 2019 IEEE 31st International …, 2019 - ieeexplore.ieee.org
Deep reinforcement learning is making advances in robotics with the platforms of realistic
environment simulation. However, as shown in this paper, the realistic simulation introduces …

Analysis of Data Augmentation Techniques for Mobile Robots Localization by Means of Convolutional Neural Networks

OJ Céspedes, S Cebollada, JJ Cabrera… - … Conference on Artificial …, 2023 - Springer
This work presents an evaluation regarding the use of data augmentation to carry out the
rough localization step within a hierarchical localization framework. The method consists of …