Abstract
FC Portugal, a team from the universities of Porto and Aveiro, achieved the second consecutive victory in the main competition of the 2023 RoboCup 3D Simulation League. The team registered 18 wins, 1 tie, and 3 losses, scoring a total of 109 goals while conceding only 13. The codebase used in this competition was developed in Python after RoboCup 2021. This paper presents a brief overview of its structure along with the new features developed for this year’s competition. The key developments include a revised dribble technique, designed to keep the ball further from the robot to prevent ball-holding fouls in compliance with new rules, and the introduction of a new programming language called TSAL. TSAL enables the creation of high-level team strategies in robotic soccer, combining deep symbolic reinforcement learning with human sub-optimal knowledge to optimize team tactics.
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Notes
- 1.
The official rules can be found at https://ssim.robocup.org/3d-simulation/3d-rules/.
- 2.
- 3.
3D magmaChallenge tool https://github.com/magmaOffenburg/magmaChallenge.
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Acknowledgments
The first author was supported by the Foundation for Science and Technology (FCT) under grant SFRH/BD/139926/2018. Additionally, this research was financially supported by FCT/MCTES (PIDDAC), under projects UIDB/00027/2020 (LIACC) and UIDB/00127/2020 (IEETA).
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Abreu, M., Mota, P., Reis, L.P., Lau, N., Florido, M. (2024). FC Portugal: RoboCup 2023 3D Simulation League Champions. In: Buche, C., Rossi, A., Simões, M., Visser, U. (eds) RoboCup 2023: Robot World Cup XXVI. RoboCup 2023. Lecture Notes in Computer Science(), vol 14140. Springer, Cham. https://doi.org/10.1007/978-3-031-55015-7_35
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