HELIOS Base

helios-base is a sample team for the RoboCup Soccer 2D Simulator. All programs can work with rcssserver-16.

• The RoboCup Soccer Simulator: http://github.com/rcsoccersim/
• RoboCup Official Homepage: http://www.robocup.org/

Quick Start

The latest helios-base depends on the following libraries:

• Boost 1.38 or later https://www.boost.org/
• The latest librcsc https://github.com/helios-base/librcsc

In the case of Ubuntu 16.04 or later, execute the following commands for installing a basic development environment:

sudo apt update
sudo apt install build-essential libboost-all-dev

And, install librcsc.

To build binaries, execute commands from the root of source directory:

./bootstrap
./configure
make

To start the agent2d team, invoke the start script in src directory.

./start.sh

Configuring

You may need to configure the build settings if you installed librcsc to an unusual location. You can specify the installed location of librcsc by using --with-librcsc option as follows:

./configure --with-librcsc=/path/to/librcsc

Usually, this value is the same as --prefix option of configuring librcsc. You may also need to set the environment variable LD_LIBRARY_PATH.

See ./configure --help for others options.

References

The paper about HELIOS Base:

• Hidehisa Akiyama, Tomoharu Nakashima, HELIOS Base: An Open Source Package for the RoboCup Soccer 2D Simulation, In Sven Behnke, Manuela Veloso, Arnoud Visser, and Rong Xiong editors, RoboCup2013: Robot World XVII, Lecture Notes in Artificial Intelligence, Springer Verlag, Berlin, 2014. http://dx.doi.org/10.1007/978-3-662-44468-9_46

Related works:

• Hidehisa Akiyama, Daisuke Katagami, Katsumi Nitta, Team Formation Construction Using a GUI Tool in the RoboCup Soccer Simulation, SCIS & ISIS, 2006, Volume 2006, SCIS & ISIS 2006, Session ID TH-D2-5, Pages 80-85, Released September 12, 2008, https://doi.org/10.14864/softscis.2006.0.80.0
• Hidehisa Akiyama, Daisuke Katagami, Katsumi Nitta, Training of Agent Positioning using Human's Instruction, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 11 No.8, pp.998--1006, 2007-10-20. https://doi.org/10.20965/jaciii.2007.p0998
• 秋山 英久, 野田 五十樹, エージェント配置問題における三角形分割を利用した近似モデル, 人工知能学会論文誌, 2008, 23 巻, 4 号, p. 255-267, 公開日 2008/04/24, Online ISSN 1346-8030, Print ISSN 1346-0714, https://doi.org/10.1527/tjsai.23.255
• Hidehisa Akiyama, Itsuki Noda, Multi-Agent Positioning Mechanism in the Dynamic Environment, In Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, and Frank Dellaert, editors, RoboCup 2007: Robot Soccer World Cup XI Lecture Notes in Artificial Intelligence, vol. 5001, Springer, pp.377-384, July 2008. https://doi.org/10.1007/978-3-540-68847-1_38
• Hidehisa Akiyama, Tomoharu Nakashima, Shigeto Aramaki, Online Cooperative Behavior Planning using a Tree Search Method in the RoboCup Soccer Simulation, Proc. of 4th IEEE International Conference on Intelligent Networking and Collaborative Systems (INCoS-2012), 2012 Sep. https://doi.org/10.1109/iNCoS.2012.83
• Hidehisa Akiyama, Tomoharu Nakashima, HELIOS2012: RoboCup 2012 Soccer Simulation 2D League Champion, RoboCup 2012: Robot Soccer World Cup XVI Lecture Notes in Computer Science Volume 7500, pp.13-19, June 2013. http://dx.doi.org/10.1007/978-3-642-39250-4_2
• Takuya Fukushima, Tomoharu Nakashima, Hidehisa Akiyama, Mimicking an Expert Team through the Learning of Evaluation Functions from Action Sequences, RoboCup 2018: Robot World Cup XXII Lecture Notes in Computer Science, Vol. 11374, Springer, Cham, pp 170-180, 04 August 2019 https://doi.org/10.1007/978-3-030-27544-0_14
• Hidehisa Akiyama, Tomoharu Nakashima, Takuya Fukushima, Jiarun Zhong, Yudai Suzuki, An Ohori, HELIOS2018: RoboCup 2018 Soccer Simulation 2D League Champion, RoboCup 2018: Robot World Cup XXII, Lecture Notes in Computer Science, Vol.11374, Springer, Cham, pp.450-461, 04 August 2019. https://doi.org/10.1007/978-3-030-27544-0_37
• 福島卓弥, 中島智晴, 秋山英久, RoboCupサッカーにおけるニューラルネットワークを用いた評価関数モデリング, 電気学会論文誌Ｃ（電子・情報・システム部門誌）, 2019, 139 巻, 10 号, pp. 1128-1133, 2019-10-01 https://doi.org/10.1541/ieejeiss.139.1128
• 秋山 英久, 中島 智晴, 五十嵐 治一, RoboCup サッカーシミュレーションにおける局面評価の表現法と学習法, 知能と情報, 2020, 32 巻, 2 号, p. 691-703, 公開日 2020/04/15, Online ISSN 1881-7203, Print ISSN 1347-7986, https://doi.org/10.3156/jsoft.32.2_691
• Takuya Fukushima, Tomoharu Nakashima, Hidehisa Akiyama, Evaluation-function modeling with multi-layered perceptron for RoboCup soccer 2D simulation, Artificial Life and Robotics, Volume 25, issue 3, pp.440-445, 2020-04-30. https://doi.org/10.1007/s10015-020-00602-w