LATIDIA · Robótica

Educar a los futuros ingenieros sobre los LLM: un taller escalable

arXiv: 2610.07027v1Tipo de anuncio: cruz Resumen: A medida que los modelos de lenguaje grandes (LLM) se integran cada vez más en los flujos de trabajo de ingeniería, los estudiantes requieren experiencia práctica para aprender a colaborar con ellos

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arXiv:2610.07027v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly integrated into engineering workflows, students require hands-on experience to learn how to collaborate with them critically. This paper presents a scalable gamified workshop designed for engineering Master's students to practice human-AI collaboration in navigation planning. Using a mobile web interface across 10 workshop sessions, a total of 226 students wrote prompts for a non-reasoning and a reasoning LLM to solve grid-based navigation tasks of increasing complexity. The system returned robot-executable plans, trajectory visualizations, and automated scoring, culminating in a live demonstration on a Boston Dynamics Spot robot. In a post-workshop questionnaire, 81.5% reported substantial learning and 91.0% reported