Advisor(s):
Jan Peters
I am a PhD student working with Jan Peters in the Robot Learning Lab, where we have a 7-DoF Barrett arm. My dream is that the robot will beat me in table tennis one day (but I'm really good!). We are currently working on applying learning algorithms on the robotic table tennis setup. I am especially interested in optimal control and reinforcement learning.
Previously I was a master student at ETH Zurich where I studied Applied Mathematics and wrote my thesis in the control group (IDSC lab) of Raffaello D'Andrea.
I am very much into music, jazz in particular. In my free time I like to play the guitar and sing along. Here's a link to a Tom Jobim song that I really like: https://www.youtube.com/watch?v=5mjdErokZnE
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Koc, O., Maeda, G., Peters, J.
Online optimal trajectory generation for robot table tennis
Robotics and Autonomous Systems, 105, pages: 121-137, 2018 (article)
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Koc, O., Maeda, G., Peters, J.
A New Trajectory Generation Framework in Robotic Table Tennis
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems, pages: 3750-3756, IROS, 2016 (conference)
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Huang, Y., Büchler, D., Koc, O., Schölkopf, B., Peters, J.
Jointly Learning Trajectory Generation and Hitting Point Prediction in Robot Table Tennis
16th IEEE-RAS International Conference on Humanoid Robots, pages: 650-655, Humanoids, 2016 (conference)
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Koc, O., Maeda, G., Neumann, G., Peters, J.
Optimizing Robot Striking Movement Primitives with Iterative Learning Control
In 15th IEEE-RAS International Conference on Humanoid Robots, pages: 80-87, Humanoids, November 2015 (inproceedings)
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