I am currently a guest scientist at MPI for Intelligent Systems, where I conduct research on safe robot learning. Previously (2014-2018) I was a PhD student working with Jan Peters in the Robot Learning Lab, where two 7-DoF Barrett arms are facing each other, awaiting eagerly for the day when they can beat each other in a deadly robot table tennis match. So far that has not happened! I think that in order to learn from scratch, one needs to look at how robots could learn safely without extensive prior knowledge or assumptions!
During my PhD I was working on optimal trajectory generation for table tennis and learning control algorithms (that are applicable to table tennis). I am especially interested in optimal control and reinforcement learning.
Learning control Table tennis Robotics Optimal Control Optimization
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Koc, O., Maeda, G., Peters, J.
Optimizing the Execution of Dynamic Robot Movements With Learning Control
IEEE Transactions on Robotics, pages: 1-16, 2019 (article)
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Koc, O., Peters, J.
Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework
IEEE Robotics and Automation Letters, 4(2):1784-1791, 2019 (article)
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Maeda, G., Koc, O., Morimoto, J.
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets
Proceedings of The 2nd Conference on Robot Learning (CoRL), 87, pages: 630-640, (Editors: Aude Billard, Anca Dragan, Jan Peters, Jun Morimoto ), PMLR, October 2018 (conference)
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Koc, O.
Optimal Trajectory Generation and Learning Control for Robot Table Tennis
Technical University Darmstadt, Germany, 2018 (phdthesis)
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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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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 (Humanoids), pages: 650-655, November 2016 (conference)
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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 (IROS), pages: 3750-3756, October 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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