An approach for imitation learning on Riemannian manifolds
In imitation learning, multivariate Gaussians are widely used to encode robot behaviors. Such approaches do not provide the ability to properly represent end-effector orientation, as the distance metric in the space of orientations is not Euclidean. In this work we present an extension of common imi...
| Principais autores: | , , , , |
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| Formato: | Journal article |
| Publicado em: |
Institute of Electrical and Electronics Engineers
2017
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