In the RoboCup Standard Platform League 2019, the team B-Human won the main competition and, together with Berlin United - Nao-Team Humboldt, the Mixed Team Competition. For being successful in such a competitive environment, many sophisticated solutions for a variety of robotics tasks need to be found and integrated in a reliable and efficient manner. In this paper, we focus on three aspects that we consider as crucial for this year’s success and that have not been published before: a system of neural networks for ball classification and position estimation, a new framework for behavior specification along with its application to passes and set plays, and a set of approaches for maintaining the reliability of our robot team throughout a game.
CITATION STYLE
Röfer, T., Laue, T., Felsch, G., Hasselbring, A., Haß, T., Oppermann, J., … Schrader, N. (2019). B-Human 2019 – Complex Team Play Under Natural Lighting Conditions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11531 LNAI, pp. 646–657). Springer. https://doi.org/10.1007/978-3-030-35699-6_52
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