Abstract
Due to the Covid-19 pandemic, the RoboCup WorldCup 2021 was held completely remotely. For this competition the Webots simulator (https://cyberbotics.com/) was used, so all teams needed to transfer their robot to the simulation. This paper describes our experiences during this process as well as a genetic learning approach to improve our walk engine to allow a more stable and faster movement in the simulation. Therefore we used a docker setup to scale easily. The resulting movement was one of the outstanding features that finally led to the championship title.
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Acknowledgements
We highly acknowledge the tremendous effort that was taken by the technical committee of the humanoid league to get a competition running in the Webots simulator.
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Dorer, K., Giessler, M., Hochberg, U., Scharffenberg, M., Schillings, R., Schnekenburger, F. (2022). Humanoid Adult Size Champion 2021 Sweaty. 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_29
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DOI: https://doi.org/10.1007/978-3-030-98682-7_29
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