@inproceedings{DorerGiesslerHochbergetal.2022,
  author    = {Klaus Dorer and Maximilian Gie{\"s}ler and Ulrich Hochberg and Manuel Scharffenberg and Rico Schillings and Fabian Schnekenburger},
  title     = {Humanoid Adult Size Champion 2021 Sweaty},
  series = {RoboCup 2021: Robot World Cup XXIV},
  volume    = {LNCS 13132},
  editor    = {Rachid Alami and Joydeep Biswas and Maya Cakmak and Oliver Obst},
  edition   = {1.},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-98681-0 (Softcover)},
  issn      = {0302-9743},
  doi       = {10.1007/978-3-030-98682-7\_29},
  pages     = {352 -- 359},
  year      = {2022},
  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.},
  language  = {en}
}