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Conference Paper

Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors

MPS-Authors
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Rath,  Lucas
Max Planck Research Group Intelligent Control Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Geist,  A. Rene
Max Planck Research Group Intelligent Control Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Trimpe,  Sebastian
Max Planck Research Group Intelligent Control Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;
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https://proceedings.mlr.press/v164/rath22a.html
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Citation

Rath, L., Geist, A. R., & Trimpe, S. (2022). Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors. In A. Faust, D. Hsu, & G. Neumann (Eds.), Proceedings of the 5th Conference on Robot Learning (pp. 101-111). PMLR. Retrieved from https://proceedings.mlr.press/v164/rath22a.html.


Cite as: https://hdl.handle.net/21.11116/0000-000A-5492-2
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