Robotic Path Planning Algorithms Open access Peer reviewed

Using the LIMO Platform to Learn Mobile Robotics

Fellipe Andrade Spagnol, Luís Marcelo Tavares, Wolmar Araújo Neto, Mário Sarcinelli-Filho and 1 more

Journal of Control Automation and Electrical Systems | Jul 11, 2026

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The main contribution of the study is to demonstrate the potential of the LIMO platform as an educational and research tool for active learning in robotics, offering a practical, accessible solution for students and researchers.

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Abstract This article discusses basic mobile robot applications exploring the capabilities of the LIMO platform of AgileX Robotics . Such a platform is compact and open-source, making it valuable for limited workspaces, which is common at most labs. Moreover, it stands out for being affordable enough even for low-budget labs. The study includes various examples of using such a platform, such as accomplishing trajectory-tracking tasks, controlling the navigation of multi-robot systems, and using laser and camera sensors for navigation and mapping. The possibility of integrating a more powerful Jetson Xavier board into the LIMO platform to conduct more robust and advanced experiments is also explored. Therefore, the main contribution of the study is to show the potential of the LIMO platform as an educational and research tool for active learning in robotics, offering a practical and accessible solution for students and researchers.

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Fellipe Andrade Spagnol

middle | Universidade Federal do Espírito Santo

Luís Marcelo Tavares

middle | Universidade Federal do Espírito Santo | ORCID 0000-0003-1447-7697

Wolmar Araújo Neto

middle | Universidade Federal do Espírito Santo

Mário Sarcinelli-Filho

middle | Universidade Federal do Espírito Santo | ORCID 0000-0002-7696-8996

Daniel Khede Dourado Villa

last | Universidade Federal do Espírito Santo

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BibTeX

@article{Spagnol2026Using,
  title = {Using the LIMO Platform to Learn Mobile Robotics},
  author = {Fellipe Andrade Spagnol and Luís Marcelo Tavares and Wolmar Araújo Neto and Mário Sarcinelli-Filho and Daniel Khede Dourado Villa},
  journal = {Journal of Control Automation and Electrical Systems},
  year = {2026},
  doi = {10.1007/s40313-026-01302-9},
  url = {https://doi.org/10.1007/s40313-026-01302-9}
}

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