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Software Testing, AI and Robotics (STAIR) Learning Lab

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Robotics in Education (RiE 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 515))

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Abstract

In this paper we presented the Software Testing, AI and Robotics (STAIR) Learning Lab. STAIR is an initiative started at the University of Innsbruck to bring robotics, Artificial Intelligence (AI) and software testing into schools. In the lab physical and virtual learning units are developed in parallel and in sync with each other. Its core learning approach is based the develop of both a physical and simulated robotics environment. In both environments AI scenarios (like traffic sign recognition) are deployed and tested. We present and focus on our newly designed MiniBot that are both built on hardware which was designed for educational and research purposes as well as the simulation environment. Additionally, we describe first learning design concepts and a showcase scenario (i.e., AI-based traffic sign recognition) with different exercises which can easily be extended.

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Notes

  1. 1.

    https://projekte.ffg.at/projekt/4119035.

  2. 2.

    https://sphero.com/products/rvr.

  3. 3.

    https://robotshop.com/de/de/lynxmotion-lss-4-dof-roboterarm-kit.html.

  4. 4.

    https://developer.nvidia.com/embedded/jetson-nano-developer-kit/.

  5. 5.

    https://www.intelrealsense.com/depth-camera-d435/.

  6. 6.

    ROS VS Code Plugin: https://marketplace.visualstudio.com/items?itemName=ms-iot.vscode-ros IntelliJ Idea Plugin: https://plugins.jetbrains.com/plugin/11235-ros-support.

  7. 7.

    https://teachablemachine.withgoogle.com/train/image.

References

  1. Auer, T., Felderer, M.: Towards a learning environment for internet of things testing with lego® mindstorms®. In: 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), pp. 457–460 (2020). https://doi.org/10.1109/ICSTW50294.2020.00081

  2. Gervais, O., Patrosio, T.: Developing an introduction to ROS and Gazebo through the LEGO SPIKE prime. In: Merdan, M., Lepuschitz, W., Koppensteiner, G., Balogh, R., Obdržálek, D. (eds.) RiE 2021. AISC, vol. 1359, pp. 201–209. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-82544-7_19

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  3. Haller-Seeber, S., et al.: ROSSINI: RobOt kidS deSIgn thiNkIng. In: Lepuschitz, W., Merdan, M., Koppensteiner, G., Balogh, R., Obdržálek, D. (eds.) RiE 2020. AISC, vol. 1316, pp. 16–25. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67411-3_2

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  4. Karalekas, G., Vologiannidis, S., Kalomiros, J.: EUROPA: a case study for teaching sensors, data acquisition and robotics via a ROS-based educational robot. Sensors 20(9) (2020). https://doi.org/10.3390/s20092469

  5. Lamprecht, P., Haller-Seeber, S., Piater, J.: A block–based IDE extension for the ESP32. In: Lepuschitz, W., Merdan, M., Koppensteiner, G., Balogh, R., Obdržálek, D. (eds.) RiE 2020. AISC, vol. 1316, pp. 304–310. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67411-3_27

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  6. Webresource, part of University of Innsbruck course LV703051/19: Mini overview on affordable physical computing platfroms which are suitable to build educational robots (2020). https://docs.google.com/spreadsheets/d/18ftAGsW0e-4IHu9VnFUISlkZ3Pj3ZBPwdiHq7ZgXySw

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Acknowledgement

The authors want to thank the GMAR summer school participants 2021 for their valuable input. They tested an alpha version of the robots hard- and software and provided suggestions for software improvement. The authors also want to thank Theo Hug and Justus Piater for proofreading the manuscript. Additional financial support was provided by the Austrian Research Promotion Agency (FFG) under the scope of the research project INNALP Education Hub (FFG contract number 4119035).

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Authors and Affiliations

  1. Department of Computer Science, University of Innsbruck, Technikerstr. 21a, 6020, Innsbruck, Austria

    Simon Haller-Seeber, Thomas Gatterer, Patrick Hofmann, Christopher Kelter, Thomas Auer & Michael Felderer

Authors
  1. Simon Haller-Seeber
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  2. Thomas Gatterer
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  3. Patrick Hofmann
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  4. Christopher Kelter
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  5. Thomas Auer
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  6. Michael Felderer
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Corresponding author

Correspondence to Simon Haller-Seeber .

Editor information

Editors and Affiliations

  1. Practical Robotics Institute Austria, Vienna, Austria

    Wilfried Lepuschitz

  2. Practical Robotics Institute Austria, Vienna, Wien, Austria

    Munir Merdan

  3. Practical Robotics Institute Austria (PRIA), Vienna, Austria

    Gottfried Koppensteiner

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

    Richard Balogh

  5. Charles University, Prague, Czech Republic

    David Obdržálek

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Haller-Seeber, S., Gatterer, T., Hofmann, P., Kelter, C., Auer, T., Felderer, M. (2022). Software Testing, AI and Robotics (STAIR) Learning Lab. In: Lepuschitz, W., Merdan, M., Koppensteiner, G., Balogh, R., Obdržálek, D. (eds) Robotics in Education. RiE 2022. Lecture Notes in Networks and Systems, vol 515. Springer, Cham. https://doi.org/10.1007/978-3-031-12848-6_17

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