Skip to main content
SpringerLink
Log in

HELIOS2022: RoboCup 2022 Soccer Simulation 2D Competition Champion

  • Conference paper
  • First Online:
RoboCup 2022: Robot World Cup XXV (RoboCup 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13561))

Included in the following conference series:

Abstract

The RoboCup Soccer Simulation 2D Competition is the oldest of the RoboCup competitions. The 2D soccer simulator enables two teams of simulated autonomous agents to play a game of soccer with realistic rules and sophisticated game play. This paper introduces the RoboCup 2022 Soccer Simulation 2D Competition champion team, HELIOS2022, a united team from Okayama University of Science and Osaka Metropolitan University. The overview of the team’s two recent approaches is also described. The first one is the method of online search of cooperative behavior for the setplay planning. The second is a performance evaluation system for efficient team development.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
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

Notes

  1. 1.

    Available at: https://github.com/helios-base.

  2. 2.

    Available at: https://github.com/rcsoccersim.

  3. 3.

    Available at: https://github.com/opusymcomp/autogame.

  4. 4.

    Available at: https://github.com/opusymcomp/loganalyzer3.

  5. 5.

    https://developers.google.com/sheets/api.

References

  1. Akiyama, H., Nakashima, T.: HELIOS base: an open source package for the RoboCup soccer 2D simulation. In: Behnke, S., Veloso, M., Visser, A., Xiong, R. (eds.) RoboCup 2013. LNCS (LNAI), vol. 8371, pp. 528–535. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-44468-9_46

    Chapter  Google Scholar 

  2. Akiyama, H., Fukuyado, M., Gochou, T., Aramaki, S.: Learning evaluation function for RoboCup soccer simulation using humans’ choice. In: Proceedings of SCIS & ISIS 2018 (2018)

    Google Scholar 

  3. Akiyama, H., Nakashima, T., Igarashi, H.: Representation and learning methods for situation evaluation in RoboCup soccer simulation. J. Jpn. Soc. Fuzzy Theory Intell. Inform. 32(2), 691–703 (2020)

    Google Scholar 

  4. Fukushima, T., Nakashima, T., Akiyama, H.: Online opponent formation identification based on position information. In: Akiyama, H., Obst, O., Sammut, C., Tonidandel, F. (eds.) RoboCup 2017. LNCS (LNAI), vol. 11175, pp. 241–251. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00308-1_20

    Chapter  Google Scholar 

  5. Fukushima, T., Nakashima, T., Akiyama, H.: Evaluation-function modeling with multi-layered perceptron for RoboCup soccer 2D simulation. Artif. Life Robot. 25(3), 440–445 (2020). https://doi.org/10.1007/s10015-020-00602-w

    Article  Google Scholar 

  6. Noda, I., Matsubara, H.: Soccer server and researches on multi-agent systems. In: Proceedings of IROS-96 Workshop on RoboCup, pp. 1–7 (1996)

    Google Scholar 

  7. Suzuki, Y., Fukushima, T., Thibout, L., Nakashima, T., Akiyama, H.: Game-watching should be more entertaining: real-time application of field-situation prediction to a soccer monitor. In: Chalup, S., Niemueller, T., Suthakorn, J., Williams, M.-A. (eds.) RoboCup 2019. LNCS (LNAI), vol. 11531, pp. 439–447. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-35699-6_35

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Okayama University of Science, Okayama, Japan

    Hidehisa Akiyama

  2. Osaka Metropolitan University, Osaka, Japan

    Tomoharu Nakashima, Kyo Hatakeyama & Takumi Fujikawa

Authors
  1. Hidehisa Akiyama
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tomoharu Nakashima
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kyo Hatakeyama
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Takumi Fujikawa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hidehisa Akiyama .

Editor information

Editors and Affiliations

  1. University of San Diego, La Jolla, CA, USA

    Amy Eguchi

  2. University of Aveiro, Aveiro, Portugal

    Nuno Lau

  3. Walt Disney (Switzerland), Zurich, Switzerland

    Maike Paetzel-Prüsmann

  4. Mahidol University, Bangkok, Thailand

    Thanapat Wanichanon

Rights and permissions

Reprints and permissions

Copyright information

© 2023 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

Akiyama, H., Nakashima, T., Hatakeyama, K., Fujikawa, T. (2023). HELIOS2022: RoboCup 2022 Soccer Simulation 2D Competition Champion. In: Eguchi, A., Lau, N., Paetzel-Prüsmann, M., Wanichanon, T. (eds) RoboCup 2022: Robot World Cup XXV. RoboCup 2022. Lecture Notes in Computer Science(), vol 13561. Springer, Cham. https://doi.org/10.1007/978-3-031-28469-4_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-28469-4_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28468-7

  • Online ISBN: 978-3-031-28469-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation