TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Dorer, Klaus
A1  - Gießler, Maximilian
A1  - Hochberg, Ulrich
A1  - Scharffenberg, Manuel
A1  - Schillings, Rico
A1  - Schnekenburger, Fabian
ED  - Alami, Rachid
ED  - Biswas, Joydeep
ED  - Cakmak, Maya
ED  - Obst, Oliver
T1  - Humanoid Adult Size Champion 2021 Sweaty
T2  - RoboCup 2021: Robot World Cup XXIV
N2  - 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.
KW  - Roboter
Y1  - 2022
SN  - 0302-9743
SS  - 0302-9743
SN  - 1611-3349 (E-ISSN)
SS  - 1611-3349 (E-ISSN)
SN  - 978-3-030-98681-0 (Softcover)
SB  - 978-3-030-98681-0 (Softcover)
SN  - 978-3-030-98682-7 (eBook)
SB  - 978-3-030-98682-7 (eBook)
U6  - https://doi.org/10.1007/978-3-030-98682-7_29
DO  - https://doi.org/10.1007/978-3-030-98682-7_29
VL  - LNCS 13132
SP  - 352
EP  - 359
PB  - Springer
CY  - Cham
ET  - 1.
ER  -