Skip to main content

An Educational Framework for Complex Robotics Projects

  • Conference paper
  • First Online:
Robotics in Education (RiE 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1359))

Included in the following conference series:

Abstract

In robotics, several subject areas, such as electronics, mechanics and programming, come together. It can be a challenge to train new generations of robotics engineers in all the necessary areas. Humanoid robots in particular are very complex systems that require solid knowledge. At the same time, the goal of good teaching is to provide equal opportunities to all learners and to foster their individual abilities. In this paper, we present an educational framework that makes it possible to realize robotics projects of different levels of complexity in a short time. By partitioning into these levels, there are meaningful tasks for each level of difficulty in which learners can realize themselves. The framework is presented with a project course for humanoid robotics as example.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., Tanaka, F.: Social robots for education: a review. Sci. Robot. 3(21), eaat5954 (2018)

    Google Scholar 

  • Danahy, E., Wang, E., Brockman, J., Carberry, A., Shapiro, B., Rogers, C.B.: Lego-based robotics in higher education: 15 years of student creativity. Int. J. Adv. Robot. Syst. 11(2), 27 (2014)

    Article  Google Scholar 

  • de Gabriel, J.M.G., Mandow, A., Fernández-Lozano, J., García-Cerezo, A.: Mobile robot lab project to introduce engineering students to fault diagnosis in mechatronic systems. IEEE Trans. Educ. 58(3), 187–193 (2015)

    Article  Google Scholar 

  • Donnermann, M., Schaper, P., Lugrin, B.: Integrating a social robot in higher education–a field study. In: 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 573–579. IEEE (2020)

    Google Scholar 

  • Durrant-Whyte, H., Bailey, T.: Simultaneous localization and mapping: part I. IEEE Robot. Autom. Mag. 13(2), 99–110 (2006)

    Article  Google Scholar 

  • Čehovin Zajc, L., Rezelj, A., Skočaj, D.: Teaching intelligent robotics with a low-cost mobile robot platform (2015)

    Google Scholar 

  • Gouaillier, D., et al.: Mechatronic design of NAO humanoid. In: 2009 IEEE International Conference on Robotics and Automation, pp. 769–774. IEEE (2009)

    Google Scholar 

  • Gross, H.-M., Scheidig, A., Müller, S., Schütz, B., Fricke, C., Meyer, S.: Living with a mobile companion robot in your own apartment-final implementation and results of a 20-weeks field study with 20 seniors. In: 2019 International Conference on Robotics and Automation (ICRA), pp. 2253–2259. IEEE (2019)

    Google Scholar 

  • Hild, M., Siedel, T., Benckendorff, C., Thiele, C., Spranger, M.: Myon, a new humanoid. In: Language Grounding in Robots, pp. 25–44. Springer (2012)

    Google Scholar 

  • Howard, A.G., et al.: MobileNets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861 (2017)

  • Meindl, P., et al.: A brief behavioral measure of frustration tolerance predicts academic achievement immediately and two years later. Emotion 19(6), 1081 (2019)

    Article  Google Scholar 

  • Metta, G., Sandini, G., Vernon, D., Natale, L., Nori, F.: The icub humanoid robot: an open platform for research in embodied cognition. In: Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems, pp. 50–56 (2008)

    Google Scholar 

  • Michel, O.: Cyberbotics ltd. webots™: professional mobile robot simulation. Int. J. Adv. Robot. Syst. 1(1), 5 (2004)

    Google Scholar 

  • Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: Unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779–788 (2016)

    Google Scholar 

  • Rosenberg-Kima, R.B., Koren, Y., Gordon, G.: Robot-supported collaborative learning (RSCL): social robots as teaching assistants for higher education small group facilitation. Front. Robot. AI 6, 148 (2020)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Simon Untergasser .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Untergasser, S., Hild, M., Panreck, B. (2022). An Educational Framework for Complex Robotics Projects. In: Merdan, M., Lepuschitz, W., Koppensteiner, G., Balogh, R., Obdržálek, D. (eds) Robotics in Education. RiE 2021. Advances in Intelligent Systems and Computing, vol 1359. Springer, Cham. https://doi.org/10.1007/978-3-030-82544-7_10

Download citation

Publish with us

Policies and ethics