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

Ma, Hao; Büchler, Dieter; Schölkopf, Bernhard; Muehlebach, Michael

doi:10.15607/RSS.2022.XVIII.029

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Conference Paper

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

MPS-Authors

Ma, Hao
Emmy Noether Research Group Learning and Dynamical Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Büchler, Dieter
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schölkopf, Bernhard
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

Muehlebach, Michael
Emmy Noether Research Group Learning and Dynamical Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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https://doi.org/10.15607/RSS.2022.XVIII.029
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https://www.roboticsproceedings.org/rss18/p029.html
(Publisher version)

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Citation

Ma, H., Büchler, D., Schölkopf, B., & Muehlebach, M. (2022). A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles. In K. Hauser, D. Shell, & S. Huang (Eds.), Proceedings of Robotics: Science and Systems XVIII (RSS 2022). doi:10.15607/RSS.2022.XVIII.029.

Cite as: https://hdl.handle.net/21.11116/0000-000F-F19F-E

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