Official implementation of: NimbRoNet3: A Unified Model for Real-Time Perception on the Soccer-Field, presented at the RoboCup 2023 Humanoid Adult-Size league Software Challenge. [Poster] [Paper]
We refer to resources/docs/installation.md for detailed installation and preparation instructions.
We refer to resources/docs/training.md for detailed intructions on how to train and evaluate a model.
For further information about our NimbRoNet models and our system, we refer to our previous publications:
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Pavlichenko et al. "RoboCup 2022 AdultSize Winner NimbRo: Upgraded Perception, Capture Steps Gait and Phase-based In-walk Kicks" RoboCup 2022: Robot World Cup XXV. 2023
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Amini et al. "Real-time pose estimation from images for multiple humanoid robots." Proceedings of 24th RoboCup International Symposium, June 2021.
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Rodriguez et al. "RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities" RoboCup 2019: Robot World Cup XXIII. 2019
This repository is maintained by Angel Villar-Corrales.
Please consider citing our paper if you find our work or our repository helpful.
@incollection{NimbRoWinnerRoboCup2023,
title={{RoboCup 2023 Humanoid AdultSize Winner NimbRo: NimbRoNet3 Visual Perception and Responsive Gait with Waveform In-walk Kicks}},
author={Pavlichenko, Dmytro and Ficht, Grzegorz and Villar-Corrales, Angel and Denninger, Luis and Brocker, Julia and Sinen, Tim and Schreiber, Michael and Behnke, Sven},
booktitle={RoboCup 2023: Robot World Cup XXVI},
pages={},
year={2024},
publisher={Springer}
}
In case of any questions or problems regarding the project or repository, do not hesitate to contact the authors at villar@ais.uni-bonn.de.