Dieter Büchler
Dieter Büchler
Group leader at the Max Planck Institute for Intelligent Systems
Verified email at - Homepage
Cited by
Cited by
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
A lightweight robotic arm with pneumatic muscles for robot learning
D Büchler, H Ott, J Peters
2016 IEEE International Conference on Robotics and Automation (ICRA), 4086-4092, 2016
Control of Musculoskeletal Systems using Learned Dynamics Models
D Büchler, R Calandra, B Schölkopf, J Peters
IEEE Robotics and Automation Letters 3 (4), 3161-3168, 2018
Learning to Play Table Tennis From Scratch using Muscular Robots
D Büchler, S Guist, R Calandra, V Berenz, B Schölkopf, J Peters
arXiv preprint arXiv:2006.05935, 2020
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots
D Büchler, R Calandra, J Peters
arXiv preprint arXiv:1904.03665, 2019
Hierarchical Reinforcement Learning with Timed Subgoals
N Gürtler, D Büchler, G Martius
Advances in Neural Information Processing Systems 34, 2021
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios
V Shaj, D Büchler, R Sonker, P Becker, G Neumann
International Conference on Learning Representations, 2021
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
V Shaj, P Becker, D Buchler, H Pandya, N van Duijkeren, CJ Taylor, ...
arXiv preprint arXiv:2010.10201, 2020
The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes
V Berenz, M Naveau, F Widmaier, M Wüthrich, JC Passy, S Guist, ...
Robot Learning for Muscular Systems
D Büchler
Technische Universität, 2019
Robot Learning for Muscular Robots
D Büchler
Technische Universität Darmstadt Darmstadt, 2019
Modeling Variability of Musculoskeletal Systems with Heteroscedastic Gaussian Processes
D Büchler, R Calandra, J Peters
Neural Information Processing Systems Workshop on Neurorobotics, 2016
Optimale Trajektorien mit Reinforcement Learning
D Büchler
HAW Hamburg, 2012
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