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
242016
Online optimal trajectory generation for robot table tennis
O Koç, G Maeda, J Peters
Robotics and Autonomous Systems 105, 121-137, 2018
212018
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
82016
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
62019
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
42019
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
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets
G Maeda, O Koc, J Morimoto
Conference on Robot Learning, 630-640, 2018
22018
Phase portraits as movement primitives for fast humanoid robot control
G Maeda, O Koc, J Morimoto
Neural Networks, 2020
2020
Optimal Trajectory Generation and Learning Control for Robot Table Tennis
O Koc
Technische Universität, 2018
2018
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Articles 1–9