Dr. Yapeng Gao
Background
Since October 2016
Ph.D. candidate at the chair of Cognitive Systems, Department of Computer Science, University of Tübingen
09/2013-06/2016
Master in School of Mechanical Science and Engineering, Jilin University, China
09/2009-06/2013
Bachelor in School of Mechanical Science and Engineering, Jilin University, China
Research Interests
- Object Tracking
- Pose Estimation
- Robot Learning
- Reinforcement Learning
- Sensor Fusion
Current Projects
Teaching
- Proseminar: Robotics and Deep Neural Networks (Summer 2021)
- Proseminar: Robotics and Deep Learning (Winter 2020/2021)
- Tutorial: Mobile Robots, (Summer 2020)
- Tutorial: Grundlagen der Robotik, (Winter 2019/2020)
- Team Project: Tracking a table tennis ball and predicting its future trajectory, (Summer 2019)
- Tutorial: Grundlagen der Robotik, (Winter 2018/2019)
- Tutorial: Mobile Robots, (Summer 2018)
Supervised Theses
2021 | Bachelor thesis | Real-Time Ball Tracking via CNN for Table Tennis Robots |
2019 | Master thesis | Real-Time 6DoF Racket Pose Esitimation Based on CNNs |
2019 | Bachelor thesis | Measuring the Speed and Orientation of a Table Tennis Racket using an IMU |
Publications
[1] | Yapeng Gao, Jonas Tebbe, and Andreas Zell. 2021. Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis. arXiv:2109.03100 [cs.RO] | ||
[2] | Yapeng Gao, Jonas Tebbe, and Andreas Zell. (2021, September). Robust Stroke Recognition via Vision and IMU in Robotic Table Tennis. In 30th International Conference on Artificial Neural Networks (ICANN). Springer, Cham. | ||
[3] | 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. [DOI] | ||
[4] | 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] | ||
[5] | Yapeng Gao, Jonas Tebbe, Julian Krismer, and Andreas Zell. (2019 July). Real-time 6D Racket Pose Estimation and Classification for Table Tennis Robots. International Journal of Robotic Computing. 1. 23-39. 10.35708/RC1868-126249. [DOI] | ||
[6] | 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 IEEE International Conference on Robotic Computing (IRC), Naples, Italy, February 2019. [DOI] | ||
[7] | Jonas Tebbe, Yapeng Gao, Marc Sastre-Rienitz, and Andreas Zell. A Table Tennis Robot System using an industrial KUKA Robot Arm. In Pattern Recognition. GCPR 2018. [DOI] |