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Torre Cubillo, Luis de la

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Torre Cubillo
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Mostrando 1 - 3 de 3
  • Publicación
    WarehouseGame Training: A Gamified Logistics Training Platform Integrating ChatGPT, DeepSeek, and Grok for Adaptive Learning
    (MDPI, 2025-06-06) Romero Marras, Juan José; Torre Cubillo, Luis de la; Chaos García, Dictino
    Modern warehouses play a fundamental role in today’s logistics, serving as strategic hubs for the reception, storage, and distribution of goods. However, training warehouse operators presents a significant challenge due to the complexity of logistics processes and the need for efficient and engaging learning methods. Training in logistics operations requires practical experience and the ability to adapt to real-world scenarios, which can result in high training costs. In this context, gamification and artificial intelligence emerge as innovative solutions to enhance training by increasing operator motivation, reducing learning time, and optimizing costs through personalized approaches. But is it possible to effectively apply these techniques to logistics training? This study introduces WarehouseGame Training, a gamified training tool developed in collaboration with Mecalux Software Solutions and implemented in Unity 3D. The solution integrates large language models (LLMs) such as ChatGPT, DeepSeek, and Grok to enhance adaptive learning. These models dynamically adjust challenge difficulty, provide contextual assistance, and evaluate user performance in logistics training scenarios. Through this gamified training tool, the performance of these AI models is analyzed and compared, assessing their ability to improve the learning experience and determine which one best adapts to this type of training.
  • Publicación
    Customized Online Laboratory Experiments: A General Tool and Its Application to the Furuta Inverted Pendulum [Focus on Education]
    (Institute of Electrical and Electronics Engineers (IEEE), 2019-09-17) Galán Vicente, Daniel; Chaos García, Dictino; Torre Cubillo, Luis de la; Aranda Escolástico, Ernesto; Heradio Gil, Rubén
    Because of online laboratories (labs), students can perform experimental activities from their mobile devices and/or computers. This article proposes an experimentation environment (EE) that extends the capabilities of interactive online labs with scripting language support. Thus, control engineering students can specify complex experiments, avoid routine tasks, and empirically test controllers they made themselves.
  • Publicación
    Using IoT-Type Metadata and Smart Web Design to Create User Interfaces Automatically
    (Institute of Electrical and Electronics Engineers (IEEE), 2023-02) Chacón, Jesús; Chandramouli, Rajarathnam; Torre Cubillo, Luis de la; Chaos García, Dictino; Heradio Gil, Rubén
    The advent of the Internet of Things has generated loads of data from the devices that are now connected to the Internet. While the majority of the data corresponds to measurements done by these devices, there is a second type of information (the metadata) that provides information about the devices themselves. Most of this metadata is still underused when used at all. On the other hand, the graphical user interfaces that allow operating and/or monitoring the connected devices from a computer or smartphone, are usually programmed from zero. However, the metadata that describes the main properties of the devices (i.e., inputs, outputs, precision, range, etc.) can be used along with smart web design techniques to automatically create these interfaces. This article proposes a framework to achieve this, and presents an application example consisting of an online lab of a servo-motor.