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2020 – today
- 2023
[j4]Dieter Büchler, Roberto Calandra, Jan Peters:
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. Robotics Auton. Syst. 159: 104230 (2023)- [c11]Pierre Schumacher, Daniel F. B. Haeufle, Dieter Büchler, Syn Schmitt, Georg Martius:
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems. ICLR 2023 - [c10]Alexander Dittrich, Jan Schneider, Simon Guist, Nico Gürtler, Heiko Ott, Thomas Steinbrenner, Bernhard Schölkopf, Dieter Büchler:
AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation. ICRA 2023: 3058-3064 - [c9]Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler:
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. L4DC 2023: 878-890 - [c8]Simon Guist, Jan Schneider, Vincent Berenz, Alexander Dittrich, Bernhard Schölkopf, Dieter Büchler:
Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning. Robotics: Science and Systems 2023 - [i15]Simon Guist, Jan Schneider, Alexander Dittrich, Vincent Berenz, Bernhard Schölkopf, Dieter Büchler:
Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning. CoRR abs/2303.02234 (2023) - [i14]Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler:
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. CoRR abs/2305.15189 (2023) - [i13]Vincent Berenz, Felix Widmaier, Simon Guist, Bernhard Schölkopf, Dieter Büchler:
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80. CoRR abs/2306.09764 (2023) - [i12]Simon Guist, Jan Schneider, Hao Ma, Vincent Berenz, Julian Martus, Felix Grüninger, Michael Mühlebach, Jonathan Fiene, Bernhard Schölkopf, Dieter Büchler:
A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions. CoRR abs/2307.02654 (2023) - [i11]Philip Tobuschat, Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach:
Data-Efficient Online Learning of Ball Placement in Robot Table Tennis. CoRR abs/2308.14562 (2023) - [i10]Jan Schneider, Pierre Schumacher, Daniel F. B. Häufle, Bernhard Schölkopf, Dieter Büchler:
Investigating the Impact of Action Representations in Policy Gradient Algorithms. CoRR abs/2309.06921 (2023) - [i9]Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - 2022
- [j3]Dieter Büchler
, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters:
Learning to Play Table Tennis From Scratch Using Muscular Robots. IEEE Trans. Robotics 38(6): 3850-3860 (2022) - [c7]Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle:
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. CoRL 2022: 1178-1188 - [c6]Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann:
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. ICLR 2022 - [c5]Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach:
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles. Robotics: Science and Systems 2022 - [i8]Pierre Schumacher, Daniel F. B. Häufle, Dieter Büchler, Syn Schmitt, Georg Martius:
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems. CoRR abs/2206.00484 (2022) - [i7]Vaisakh Shaj, Dieter Buchler, Rohit Sonker, Philipp Becker, Gerhard Neumann:
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. CoRR abs/2206.14697 (2022) - [i6]Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle:
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. CoRR abs/2207.03952 (2022) - [i5]Alexander Dittrich, Jan Schneider, Simon Guist, Bernhard Schölkopf, Dieter Büchler:
AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation. CoRR abs/2210.06048 (2022) - 2021
- [j2]Vincent Berenz, Maximilien Naveau, Felix Widmaier, Manuel Wüthrich, Jean-Claude Passy, Simon Guist, Dieter Büchler:
The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes. J. Open Source Softw. 6(67): 2752 (2021) - [c4]Nico Gürtler, Dieter Büchler, Georg Martius:
Hierarchical Reinforcement Learning with Timed Subgoals. NeurIPS 2021: 21732-21743 - [i4]Nico Gürtler, Dieter Büchler, Georg Martius:
Hierarchical Reinforcement Learning with Timed Subgoals. CoRR abs/2112.03100 (2021) - 2020
- [c3]Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann:
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. CoRL 2020: 765-781 - [i3]Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters:
Learning to Play Table Tennis From Scratch using Muscular Robots. CoRR abs/2006.05935 (2020) - [i2]Vaisakh Shaj, Philipp Becker, Dieter Buchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann:
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. CoRR abs/2010.10201 (2020)
2010 – 2019
- 2019
- [i1]Dieter Büchler, Roberto Calandra, Jan Peters:
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. CoRR abs/1904.03665 (2019) - 2018
- [j1]Dieter Buchler, Roberto Calandra, Bernhard Schölkopf, Jan Peters:
Control of Musculoskeletal Systems Using Learned Dynamics Models. IEEE Robotics Autom. Lett. 3(4): 3161-3168 (2018) - 2016
- [c2]Yanlong Huang, Dieter Buchler, Okan Koc, Bernhard Schölkopf, Jan Peters:
Jointly learning trajectory generation and hitting point prediction in robot table tennis. Humanoids 2016: 650-655 - [c1]Dieter Buchler, Heiko Ott, Jan Peters:
A lightweight robotic arm with pneumatic muscles for robot learning. ICRA 2016: 4086-4092
Coauthor Index
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last updated on 2023-10-26 20:28 CEST by the dblp team
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