Dr. Jonas Tebbe

Background

Proseminar: Deep Learning and Robotics (Winter 2020/21)
Assignments class: Introduction to neural networks (Summer 2020)
Assignments class: Grundlagen der Robotik (Winter 2019/20)
Team Project: Tracking eines Tischtennisballs und Vorhersage der Flugbahn (Summer 2019)
Assignments class: Grundlagen der Robotik (Winter 2018/19)
Assignments class: Introduction to neural networks (Summer 2018)
Assignments class: Introduction to neural networks (Summer 2017)

[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 ]