Dieter Büchler

According to our database, Dieter Büchler authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology.

Pierre Schumacher, Lorenz Krause, Jan Schneider, Dieter Büchler, Georg Martius, Daniel F. B. Haeufle

CoRR, 2024

Identifying Policy Gradient Subspaces.

Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel F. B. Häufle, Bernhard Schölkopf, Dieter Büchler

CoRR, 2024

2023

Reinforcement learning with model-based feedforward inputs for robotic table tennis.

Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach

Auton. Robots, December, 2023

Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots.

Dieter Büchler, Roberto Calandra, Jan Peters

Robotics Auton. Syst., 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

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.

CoRR, 2023

Investigating the Impact of Action Representations in Policy Gradient Algorithms.

Jan Schneider, Pierre Schumacher, Daniel F. B. Häufle, Bernhard Schölkopf, Dieter Büchler

CoRR, 2023

A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions.

Simon Guist, Jan Schneider, Hao Ma, Vincent Berenz, Julian Martus, Felix Grüninger, Michael Mühlebach, Jonathan Fiene, Bernhard Schölkopf, Dieter Büchler

CoRR, 2023

Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80.

Vincent Berenz, Felix Widmaier, Simon Guist, Bernhard Schölkopf, Dieter Büchler

CoRR, 2023

Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning.

Simon Guist, Jan Schneider, Alexander Dittrich, Vincent Berenz, Bernhard Schölkopf, Dieter Büchler

CoRR, 2023

Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning.

Simon Guist, Jan Schneider, Vincent Berenz, Alexander Dittrich, Bernhard Schölkopf, Dieter Büchler

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts.

Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler

Proceedings of the Learning for Dynamics and Control Conference, 2023

Data-Efficient Online Learning of Ball Placement in Robot Table Tennis.

Philip Tobuschat, Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach

IROS, 2023

AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation.

Alexander Dittrich, Jan Schneider, Simon Guist, Nico Gürtler, Heiko Ott, Thomas Steinbrenner, Bernhard Schölkopf, Dieter Büchler

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems.

Pierre Schumacher, Daniel F. B. Haeufle, Dieter Büchler, Syn Schmitt, Georg Martius

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning to Play Table Tennis From Scratch Using Muscular Robots.

Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters

IEEE Trans. Robotics, 2022

AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation.

Alexander Dittrich, Jan Schneider, Simon Guist, Bernhard Schölkopf, Dieter Büchler

CoRR, 2022

A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles.

Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios.

Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks.

Isabell Wochner, Pierre Schumacher, Georg Martius, Dieter Büchler, Syn Schmitt, Daniel F. B. Haeufle

Proceedings of the Conference on Robot Learning, 2022

2021

The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes.

Vincent Berenz, Maximilien Naveau, Felix Widmaier, Manuel Wüthrich, Jean-Claude Passy, Simon Guist, Dieter Büchler

J. Open Source Softw., 2021

Hierarchical Reinforcement Learning with Timed Subgoals.

Nico Gürtler, Dieter Büchler, Georg Martius

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning.

Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann

Proceedings of the 4th Conference on Robot Learning, 2020

2018

Control of Musculoskeletal Systems Using Learned Dynamics Models.

Dieter Buchler, Roberto Calandra, Bernhard Schölkopf, Jan Peters

IEEE Robotics Autom. Lett., 2018

2016

A lightweight robotic arm with pneumatic muscles for robot learning.

Dieter Buchler, Heiko Ott, Jan Peters

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Jointly learning trajectory generation and hitting point prediction in robot table tennis.

Yanlong Huang, Dieter Buchler, Okan Koc, Bernhard Schölkopf, Jan Peters

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016