Robot@Factory Lite Competition: A Digital Twin Approach for the AGV
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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.
The project that gave rise to these results received the support of a fellowship from ”la Caixa” Foundation
(ID 100010434). The fellowship code is LCF/BQ/DI20/11780028. This work is financed by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia within project UIDB/50014/2020.
