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Augmented Reality Guided 3D Printed Robotic Arm Assembly: A Comprehensive Framework for Interactive Learning

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Advances in Service and Industrial Robotics (RAAD 2024)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 157))

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Abstract

Augmented reality (AR) has emerged as a powerful tool for enhancing learning experiences, particularly in STEM fields like mechanical engineering. The study involves the development of an AR-enriched learning material that complemented a traditional project guide for designing a 5-degree-of-freedom robotic arm. The AR framework application employs Vuforia, a powerful tracking system, to seamlessly overlay virtual 3D models onto physical 3D printed parts. This enables students to visualize and interact with their designs in a realistic and engaging manner, enhancing their understanding of the design process and the physical properties of their creations. The integration of AR real-time tracking into the assembly of 3D-printed robotic arms has demonstrated its potential to enhance the learning experience for students in mechanical engineering. The ability to visualize and interact with 3D models in real-time can significantly improve their understanding of the design and assembly process, leading to improved learning outcomes.

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Author information

Authors and Affiliations

  1. Department of Design Engineering and Robotics, Technical University of Cluj-Napoca, 400641, Cluj-Napoca, Romania

    Radu Comes, Zsolt Levente Buna, Raul Silviu Rozsos & Grigore Marian Pop

Authors
  1. Radu Comes
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  2. Zsolt Levente Buna
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  3. Raul Silviu Rozsos
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  4. Grigore Marian Pop
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Corresponding author

Correspondence to Radu Comes .

Editor information

Editors and Affiliations

  1. Mechanical Systems Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Doina Pisla

  2. DIMEG, University of Calabria, Rende, Cosenza, Italy

    Giuseppe Carbone

  3. Department of Theoretical Mechanics, Technical University of Iasi, Iasi, Romania

    Daniel Condurache

  4. Research Center for Industrial Robots Simulation and Testing (CESTER), Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Calin Vaida

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Comes, R., Buna, Z.L., Rozsos, R.S., Pop, G.M. (2024). Augmented Reality Guided 3D Printed Robotic Arm Assembly: A Comprehensive Framework for Interactive Learning. In: Pisla, D., Carbone, G., Condurache, D., Vaida, C. (eds) Advances in Service and Industrial Robotics. RAAD 2024. Mechanisms and Machine Science, vol 157. Springer, Cham. https://doi.org/10.1007/978-3-031-59257-7_30

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