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Learning with Small Autonomous Robots

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Book cover Robot Intelligence Technology and Applications 4

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 447))

Abstract

In this paper, we advance the thesis that educational robots can make a much larger contribution in the classroom than has hitherto been the case. However, to realise this potential, it is necessary to supply teachers with detailed guides for classroom robotic student activities for achieving specific curricular learning objectives. As illustration, we describe in detail three activities that use the capabilities of the inexpensive smartphone-based mobile robot Zorro developed by us.

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Notes

  1. 1.

    A floor turtle is a real robot moving on the floor as opposed to the LOGO-simulated turtle, which moves on the computer screen to do line drawings.

  2. 2.

    This is because the motor also acts as a generator producing a voltage, the counter-electromotive force (EMF), that opposes the applied voltage, thereby diminishing the current through the motor.

References

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  2. Ducasse, S.: Squeak, Learning Programming with Robots. Apress (2005)

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  3. Flot, J., Shoop, R.: Foregrounding math, engineering, and computer science using robotics. In: Presentation given at the Technology Education and Engineering Association of Pennsylvania Annual Conference (2013)

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  4. Papert, S.: Mindstorms: Children, Computers, and Powerful Ideas. Basic Books (1993). https://books.google.co.nz/books?id=AP8WBQAAQBAJH. Sekane, Z.S.: Localizing Objects during Robot SLAM in Semi-Dynamic Environments. In: IEEE Proceedings of the 2008 International Conference on Advanced Intelligent Mechatronics. ASME (2008)

  5. Tetzlaff, T., Zandian, R., Drueppel, L., Witkowski, U.: Smartphone controlled robot platform for robot soccer and edutainment. In: Kim, J.H. (ed) Robot Intelligence Technology and Applications, vol. 3, pp. 505–518. Advances in Intelligent Systems and Computing, Springer (2015)

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Author information

Authors and Affiliations

  1. Queensland University of Technology, Brisbane, QLD, 4000, Australia

    Joaquin Sitte

  2. South Westphalia University of Applied Science, Lübecker Ring 2, 59494, Soest, Germany

    Ulf Witkowski & Reza Zandian

Authors
  1. Joaquin Sitte
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  2. Ulf Witkowski
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  3. Reza Zandian
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Corresponding author

Correspondence to Ulf Witkowski .

Editor information

Editors and Affiliations

  1. Electrical Engineering, Korea Advanced Institute of Science & Technology, Daejeon, Korea (Republic of)

    Jong-Hwan Kim

  2. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada

    Fakhri Karray

  3. School of Information and Communication Technology, Griffith University, Gold Coast, Queensland, Australia

    Jun Jo

  4. Center for Intelligent Technologies, Technical University of Kosice, Kosice, Slovakia

    Peter Sincak

  5. Civil and Environmental Engineering, Korea Advanced Institute of Science & Technology, Daejeon, Korea (Republic of)

    Hyun Myung

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© 2017 Springer International Publishing Switzerland

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Sitte, J., Witkowski, U., Zandian, R. (2017). Learning with Small Autonomous Robots. In: Kim, JH., Karray, F., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 4. Advances in Intelligent Systems and Computing, vol 447. Springer, Cham. https://doi.org/10.1007/978-3-319-31293-4_28

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  • DOI: https://doi.org/10.1007/978-3-319-31293-4_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31291-0

  • Online ISBN: 978-3-319-31293-4

  • eBook Packages: EngineeringEngineering (R0)

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