Robot@Factory Lite Competition: A Digital Twin Approach for the AGV

João Braun, João Braun, José Lima, José Lima, Paulo Costa, Paulo Costa, António Moreira, António Moreira

2021

Abstract

Robotics competitions are environments that foster teamwork, AI, and technology development by encouraging students, researchers, and academics to test their solutions against each other. These competitions often challenge the competitors’ prototypes with tasks specifically designed to benchmark them with the current optimal solutions. During the prototype stages of a robot, the development costs and time spent are often higher than other stages, as changes in the prototype are frequent. Simulation is often used to reduce these variables as it allows flexibility in all development stages before transitioning to the real scenario. However, a digital twin can be used to increase even further flexibility and effectiveness. Digital twins are virtual representations of real assets, providing replication and prediction of real scenario events, and real-time monitoring of the real object. Thus, this paper presents the development of a digital twin of an automatic guided vehicle (AGV) to the Robot@Factory Lite competition and the tests performed to validate the approach.

Paper Citation

in Harvard Style

Braun J., Lima J., Costa P. and Moreira A. (2021). Robot@Factory Lite Competition: A Digital Twin Approach for the AGV. In Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-528-9, pages 311-318. DOI: 10.5220/0010550203110318

in Bibtex Style

@conference{simultech21,
author={João Braun and José Lima and Paulo Costa and António Moreira},
title={Robot@Factory Lite Competition: A Digital Twin Approach for the AGV},
booktitle={Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2021},
pages={311-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010550203110318},
isbn={978-989-758-528-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Robot@Factory Lite Competition: A Digital Twin Approach for the AGV
SN - 978-989-758-528-9
AU - Braun J.
AU - Lima J.
AU - Costa P.
AU - Moreira A.
PY - 2021
SP - 311
EP - 318
DO - 10.5220/0010550203110318