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

A. Dittrich, J. Schneider, S. Guist, N. Gürtler, H. Ott, T. Steinbrenner, B. Schölkopf, and D. Büchler. ICRA, page 3058-3064. IEEE, (2023)

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Rainer Büchler

Heinz Büchler

Peter Büchler

Heinz Büchler

Rita Büchler

Other publications of authors with the same name

Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning.S. Guist, J. Schneider, V. Berenz, A. Dittrich, B. Schölkopf, and D. Büchler. Robotics: Science and Systems, (2023)Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios.V. Shaj, D. Büchler, R. Sonker, P. Becker, and G. Neumann. ICLR, OpenReview.net, (2022)Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots.D. Büchler, R. Calandra, and J. Peters. Robotics Auton. Syst., (2023)Open X-Embodiment: Robotic Learning Datasets and RT-X Models.O. Collaboration, A. Padalkar, A. Pooley, A. Jain, A. Bewley, A. Herzog, A. Irpan, A. Khazatsky, A. Raj, A. Singh and 44 other author(s). CoRR, (2023)Reinforcement learning with model-based feedforward inputs for robotic table tennis.H. Ma, D. Büchler, B. Schölkopf, and M. Muehlebach. Auton. Robots, 47 (8): 1387-1403 (December 2023)Hierarchical Reinforcement Learning with Timed Subgoals.N. Gürtler, D. Büchler, and G. Martius. NeurIPS, page 21732-21743. (2021)Learning to Play Table Tennis From Scratch using Muscular Robots.D. Büchler, S. Guist, R. Calandra, V. Berenz, B. Schölkopf, and J. Peters. CoRR, (2020)Learning to Play Table Tennis From Scratch Using Muscular Robots.D. Büchler, S. Guist, R. Calandra, V. Berenz, B. Schölkopf, and J. Peters. IEEE Trans. Robotics, 38 (6): 3850-3860 (2022)Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning.V. Shaj, P. Becker, D. Büchler, H. Pandya, N. van Duijkeren, C. Taylor, M. Hanheide, and G. Neumann. CoRL, volume 155 of Proceedings of Machine Learning Research, page 765-781. PMLR, (2020)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. Büchler, M. Muehlebach, and J. Stueckler. L4DC, volume 211 of Proceedings of Machine Learning Research, page 878-890. PMLR, (2023)

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Disambiguation of "Büchler, Dieter"

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

Please choose a person to relate this publication to

Rainer Büchler

Heinz Büchler

Peter Büchler

Heinz Büchler

Rita Büchler

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Büchler, Dieter"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation.

Please choose a person to relate this publication to

Rainer Büchler

Heinz Büchler

Peter Büchler

Heinz Büchler

Rita Büchler

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
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AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation.