This project is planned to advance the state of the art in assistive robot navigation systems through their integration with a Fog layer infrastructure integrated into buildings. This is achieved for two main reasons, the first is that the sensors integrated with the building allow to have a greater knowledge of the environment than those included in the robotic units, for example, promoting route changes depending on the state of the different sections of the building. ; The second is that the infrastructure allows a high processing capacity independent of the one carried by the robot since robots can be both high-performance and low-cost.

    For this, it is proposed to implement a demonstrator composed of an infrastructure of sensors and computation elements in the Fog layer, robotic units equipped with sensors, interfaces between the two previous ones, and autonomous navigation systems. So that a system of assistive robots is implemented to help guide people inside buildings.

    At present there are assistive robots, however, they mainly use information from their own sensors and perform navigation processing locally. In this project, progress will be made in distributed systems, in which information is obtained not only from the robot but also from the infrastructure, it is also possible to relocate computing tasks from the robot, which are carried out in the Fog layer.

    Funded by “proyectos de I+D+i en el marco del Programa Operativo FEDER Andalucía 2014-2020”, reference: 1380974-F.

Publications:

GS3: A Lightweight Method of Generating Data Blocks With Shuffling, Scrambling, and Substituting Data for Constrained IoT Devices
F Alcaraz, JM Palomares, Joaquín Olivares
IEEE Internet of Things Journal. 2024

3D reconstruction system and multiobject local tracking algorithm designed for billiards
FJ Rodriguez-Lozano, JC Gámez-Granados, H Martínez, JM Palomares, Joaquín Olivares
Applied Intelligence. 2023