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 | 25 | 2016 |
Online optimal trajectory generation for robot table tennis O Koç, G Maeda, J Peters Robotics and Autonomous Systems 105, 121-137, 2018 | 23 | 2018 |
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 | 8 | 2019 |
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 | 7 | 2016 |
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 | 4 | 2019 |
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 | 4 | 2015 |
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets G Maeda, O Koc, J Morimoto Conference on Robot Learning, 630-640, 2018 | 2 | 2018 |
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 |