Jonas Tebbe

Background

Since 2017
PhD student at the Department of Cognitive Systems, University of Tübingen

2016
Web Developer, Simplicity GmbH

2014 - 2016
MSc in mathematics, University of Münster

2010 - 2014
BSc in mathematics, University of Münster

Current Projects

Research Interests

  • Flight modeling of a table tennis ball
  • Robotics

Teaching

Publications

[1] Jonas Tebbe, Lukas Krauch, Yapeng Gao, and Andreas Zell. Sample-efficient Reinforcement Learning in Robotic Table Tennis. In 2021 IEEE International Conference on Robotics and Automation (ICRA), Xian, China, May 2021. [ link ]
[2] Yapeng Gao, Jonas Tebbe, and Andreas Zell. Robust stroke recognition via vision and imu in robotic table tennis. In International Conference on Artificial Neural Networks, pages 379--390, Cham, 2021. Springer, Springer International Publishing.
[3] Jonas Tebbe, Lukas Klamt, Yapeng Gao, and Andreas Zell. Spin Detection in Robotic Table Tennis. In 2020 IEEE International Conference on Robotics and Automation (ICRA), pages 9694--9700, Paris, France, May 2020. [ DOI | link ]
[4] Yapeng Gao, Jonas Tebbe, and Andreas Zell. Real-time 6d racket pose estimation and classification for table tennis robots. International Journal of Robotic Computing, 1(1):23--39, September 2019. [ DOI | link ]
[5] Yapeng Gao, Jonas Tebbe, Julian Krismer, and Andreas Zell. Markerless Racket Pose Detection and Stroke Classification based on Stereo Vision for Table Tennis Robots. In 2019 Third IEEE International Conference on Robotic Computing (IRC), pages 189--196, Naples, Italy, February 2019.
[6] Jonas Tebbe, Yapeng Gao, Marc Sastre-Rienitz, and Andreas Zell. A Table Tennis Robot System using an industrial KUKA Robot Arm. In German Conference on Pattern Recognition (GCPR), Stuttgart, Germany, October 2018. [ DOI ]