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How to Draw Cardioids with LEGO Robots: A Technical-Mathematical Project in Higher Education

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Robotics in Education (RiE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 747))

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Abstract

Drawing robots have been made for decades, but there are only a few designs that can be used directly to teach mathematics in higher technical and IT education. Our goal is to present the case of using LEGO robots for drawing cardioid curves. Two different derivations of the cardioid curve were used to design the robot mechanism. In the first case, the curve is drawn by means of gears rolling on each other, and in the second case by means of circular movements carried out by two motors. This paper examines the details of the construction of both types, together with the theoretical background. Finally, we present a STEAM learning guided project based on the use of cardioid drawing robots.

Prepared in the “National Laboratory for Social Innovation” project (RRF-2.3.1-21-2022-00013), within the framework of Hungary’s Recovery and Resilience Plan, with the support of the Recovery and Resilience Facility of the European Union.

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Authors and Affiliations

  1. Department of Applied Mathematics, University of Miskolc, Institute of Mathematics, Miskolc, Hungary

    Attila Körei

  2. Department of Analysis, University of Miskolc, Institute of Mathematics, Miskolc, Hungary

    Szilvia Szilágyi

Authors
  1. Attila Körei
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  2. Szilvia Szilágyi
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Correspondence to Attila Körei .

Editor information

Editors and Affiliations

  1. Slovak University of Technology (STU), Bratislava, Slovakia

    Richard Balogh

  2. Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic

    David Obdržálek

  3. University of Cyprus, Nicosia, Cyprus

    Eftychios Christoforou

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Körei, A., Szilágyi, S. (2023). How to Draw Cardioids with LEGO Robots: A Technical-Mathematical Project in Higher Education. In: Balogh, R., Obdržálek, D., Christoforou, E. (eds) Robotics in Education. RiE 2023. Lecture Notes in Networks and Systems, vol 747. Springer, Cham. https://doi.org/10.1007/978-3-031-38454-7_4

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