Okan Koc
Okan Koc
Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
Jointly learning trajectory generation and hitting point prediction in robot table tennis
Y Huang, D Büchler, O Koç, B Schölkopf, J Peters
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
212016
Online optimal trajectory generation for robot table tennis
O Koç, G Maeda, J Peters
Robotics and Autonomous Systems 105, 121-137, 2018
172018
A new trajectory generation framework in robotic table tennis
O Koç, G Maeda, J Peters
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
72016
Optimizing robot striking movement primitives with Iterative Learning Control
O Koç, G Maeda, G Neumann, J Peters
2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015
42015
Learning to serve: an experimental study for a new learning from demonstrations framework
O Koç, J Peters
IEEE Robotics and Automation Letters 4 (2), 1784-1791, 2019
22019
Optimizing the execution of dynamic robot movements with learning control
O Koç, G Maeda, J Peters
IEEE Transactions on Robotics 35 (4), 909-924, 2019
12019
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets
G Maeda, O Koc, J Morimoto
Conference on Robot Learning, 630-640, 2018
12018
Phase Portraits as Movement Primitives for Fast Humanoid Robot Control
G Maeda, O Koc, J Morimoto
arXiv preprint arXiv:1912.03535, 2019
2019
Optimal Trajectory Generation and Learning Control for Robot Table Tennis
O Koc
Technische Universität, 2018
2018
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