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Publications

Welcome to the RoBorregos @Home publications section. Here you can find academic papers, conference proceedings, and research work produced by our team members related to robotics, service robots, and RoboCup@Home competition.

Research Areas

Our research focuses on several key areas in service robotics:

  • Task Planning and Natural Language Processing: Using LLMs and parsing techniques for reliable robot task planning
  • Digital Twins: Implementation of digital twins for mobile and collaborative robot scenarios
  • Robotic Education: Technology to support discrete event control teaching and robotics education
  • Human-Robot Interaction: Improving communication and interaction between humans and service robots
  • Computer Vision: Object detection, recognition, and scene understanding for domestic environments

@Home Papers

Adán Flores-Ramírez et al. Taming the llm: Reliable task planning for robotics using parsing and grounding. In Lourdes Martínez-Villaseñor, Roberto A. Vázquez, and Gilberto Ochoa-Ruiz, editors, Advances in Soft Computing, pages 296–312, Cham, 2026. Springer Nature Switzerland.

Other Team Papers

Vázquez-Hurtado, C. et al. (2024). Virtual Twin for the Smart Factory as a Tool to Enable Robotics Skills Acquisition. In: Thiede, S., Lutters, E. (eds) Learning Factories of the Future. CFL 2024. Lecture Notes in Networks and Systems, vol 1059. Springer, Cham. https://doi.org/10.1007/978-3-031-65411-4_14

E Altamirano-Avila, A. Valdivia, and C. Vazquez-Hurtado. [AVV22] Work in ´ Progress: Implementation of a Digital Twin as Technology to support Discrete Event Control Teaching. 2022 IEEE World Engineering Education Conference (EDUNINE), DOI: 10.1109/EDUNINE53672.2022. 9782154., 2022.

E. A. Avila, D. P. Chapa, I. D. Arenas and C. V. Hurtado, "A Digital Twin implementation for Mobile and collaborative robot scenarios for teaching robotics based on Robot Operating System," 2022 IEEE Global Engineering Education Conference (EDUCON), Tunis, Tunisia, 2022, pp. 559-564, doi: 10.1109/EDUCON52537.2022.9766583.