Skip to main content

B-Human 2021 – Playing Soccer Out of the Box

  • 490 Accesses

Part of the Lecture Notes in Computer Science book series (LNAI,volume 13132)

Abstract

In 2021, our team B-Human participated in two events in the RoboCup Standard Platform League, namely the German Open Replacement Event and the actual RoboCup. We won both competitions. In both events, the biggest scientific challenge was to be able to play soccer on foreign robots in remote locations with the human team members neither being on site nor having direct access to these robots. We present our approach to a robot soccer system that only requires a fully automatic pre-game extrinsic camera calibration, but otherwise works out of the box. This paper focuses on the automatic calibration and some aspects of our lighting-independent computer vision system.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-98682-7_25
  • Chapter length: 12 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   59.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-98682-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   79.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.

References

  1. Hasselbring, A., Baude, A.: Soccer field boundary detection using convolutional neural networks. In: Alami, R., et al. (eds.) RoboCup 2021. LNAI, vol. 13132, pp. 202–213. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-98682-7_17

    CrossRef  Google Scholar 

  2. Laue, T., Moos, A., Göttsch, P.: Let your robot go - challenges of a decentralized remote robot competition. In: Proceedings of the 10th European Conference on Mobile Robots (2021)

    Google Scholar 

  3. Moos, A., Göttsch, P.: GORE 2021. https://gore2021.netlify.app (2021). (Accessed 15 May 2021)

  4. Poppinga, B., Laue, T.: JET-net: real-time object detection for mobile robots. In: Chalup, S., Niemueller, T., Suthakorn, J., Williams, M.-A. (eds.) RoboCup 2019. LNCS (LNAI), vol. 11531, pp. 227–240. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-35699-6_18

    CrossRef  Google Scholar 

  5. Reichenberg, P., Röfer, T.: Step adjustment for a robust humanoid walk. In: Alami, R., et al. (eds.) RoboCup 2021. LNAI, vol. 13132, pp. 28–39. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-98682-7_3

    CrossRef  Google Scholar 

  6. RoboCup Technical Committee: Standard Platform League history, Website. https://spl.robocup.org/results-2021/

  7. RoboCup Technical Committee: GORE Standard Platform League (NAO) Rule Book (2021). Only available online. https://collaborating.tuhh.de/HULKs/gore/-/raw/master/GORe-Rules.pdf

  8. RoboCup Technical Committee: RoboCup 2021 virtual tournament (2021), Website. https://ssl.robocup.org/robocup-2021-virtual-tournament/

  9. RoboCup Technical Committee: RoboCup Standard Platform League (NAO) Challenges & Rule Book (2021). Only available online. https://cdn.robocup.org/spl/wp/2021/06/SPL-Rules-2021.pdf

  10. RoboCup Technical Committee: Virtual RoboCup Soccer Humanoid League laws of the game 2020/2021 (2021). Only available online. https://cdn.robocup.org/hl/wp/2021/06/V-HL21_Rules_v4.pdf

  11. Röfer, T., et al.: B-Human 2019 – complex team play under natural lighting conditions. In: Chalup, S., Niemueller, T., Suthakorn, J., Williams, M.-A. (eds.) RoboCup 2019. LNCS (LNAI), vol. 11531, pp. 646–657. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-35699-6_52

    CrossRef  Google Scholar 

  12. Röfer, T., et al.: B-Human team report and code release 2021 (2021). https://github.com/bhuman/BHumanCodeRelease/raw/coderelease2021/CodeRelease2021.pdf

  13. Röfer, T., et al.: B-Human team report and code release 2019 (2019). https://github.com/bhuman/BHumanCodeRelease/raw/coderelease2019/CodeRelease2019.pdf

  14. Thielke, F., Hasselbring, A.: A JIT compiler for neural network inference. In: Chalup, S., Niemueller, T., Suthakorn, J., Williams, M.-A. (eds.) RoboCup 2019. LNCS (LNAI), vol. 11531, pp. 448–456. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-35699-6_36

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas Röfer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Röfer, T., Laue, T., Hasselbring, A., Monnerjahn, L.M., Matschull, N., Plecher, L. (2022). B-Human 2021 – Playing Soccer Out of the Box. In: Alami, R., Biswas, J., Cakmak, M., Obst, O. (eds) RoboCup 2021: Robot World Cup XXIV. RoboCup 2021. Lecture Notes in Computer Science(), vol 13132. Springer, Cham. https://doi.org/10.1007/978-3-030-98682-7_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-98682-7_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98681-0

  • Online ISBN: 978-3-030-98682-7

  • eBook Packages: Computer ScienceComputer Science (R0)