| 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 | 44 | 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 | 39 | 2016 |
| Learning to play table tennis from scratch using muscular robots D Büchler, S Guist, R Calandra, V Berenz, B Schölkopf, J Peters IEEE Transactions on Robotics 38 (6), 3850-3860, 2022 | 38 | 2022 |
| 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 | 23 | 2018 |
| Hierarchical reinforcement learning with timed subgoals N Gürtler, D Büchler, G Martius Advances in Neural Information Processing Systems 34, 21732-21743, 2021 | 12 | 2021 |
| Learning to control highly accelerated ballistic movements on muscular robots D Büchler, R Calandra, J Peters Robotics and Autonomous Systems, 104230, 2022 | 11 | 2022 |
| Action-conditional recurrent kalman networks for forward and inverse dynamics learning V Shaj, P Becker, D Büchler, H Pandya, N van Duijkeren, CJ Taylor, ... Conference on Robot Learning, 765-781, 2021 | 3 | 2021 |
| DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems P Schumacher, D Häufle, D Büchler, S Schmitt, G Martius arXiv preprint arXiv:2206.00484, 2022 | 2 | 2022 |
| 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, ... | 2 | 2020 |
| A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles H Ma, D Büchler, B Schölkopf, M Muehlebach Robotics: Science and Systems, 2022 | 1 | 2022 |
| 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 | 1 | 2021 |
| Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts J Achterhold, P Tobuschat, H Ma, D Buechler, M Muehlebach, J Stueckler arXiv preprint arXiv:2305.15189, 2023 | | 2023 |
| Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks I Wochner, P Schumacher, G Martius, D Büchler, S Schmitt, D Haeufle Conference on Robot Learning, 1178-1188, 2023 | | 2023 |
| Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning S Guist, J Schneider, A Dittrich, V Berenz, B Schölkopf, D Büchler arXiv preprint arXiv:2303.02234, 2023 | | 2023 |
| AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation A Dittrich, J Schneider, S Guist, B Schölkopf, D Büchler arXiv preprint arXiv:2210.06048, 2022 | | 2022 |
| Robot Learning for Muscular Robots D Büchler Technische Universität Darmstadt Darmstadt, 2019 | | 2019 |
| Modeling Variability of Musculoskeletal Systems with Heteroscedastic Gaussian Processes D Büchler, R Calandra, J Peters Neural Information Processing Systems Workshop on Neurorobotics, 2016 | | 2016 |
| Optimale Trajektorien mit Reinforcement Learning D Büchler HAW Hamburg, 2012 | | 2012 |
| Robot Learning for Muscular Systems D Büchler Technische Universität, 0 | | |
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
