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Nonparametric Bayesian learning for collaborative robot multimodal introspection
This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies. In robotics, the ability to reason, solve their...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-981-15-6263-1 http://cds.cern.ch/record/2727031 |