Combining learned and analytical models for predicting action effects from 
sensory data

Kloss, Alina; Schaal, Stefan; Bogh, Jeannette

doi:10.1177/0278364920954896

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Journal Article

Combining learned and analytical models for predicting action effects from sensory data

MPS-Authors

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Kloss, Alina
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schaal, Stefan
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;
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https://doi.org/10.1177/0278364920954896
(Publisher version)

https://doi.org/10.48550/arXiv.1710.04102
(Preprint)

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Citation

Kloss, A., Schaal, S., & Bogh, J. (2022). Combining learned and analytical models for predicting action effects from sensory data. The International Journal of Robotics Research, 41(8), 778-797. doi:10.1177/0278364920954896.

Cite as: https://hdl.handle.net/21.11116/0000-000F-DFEC-D

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