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

Table Tennis Robot

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]