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Robust tactile object recognition in open-set scenarios using Gaussian prototype learning
Tactile object recognition is crucial for effective grasping and manipulation. Recently, it has started to attract increasing attention in robotic applications. While there are many works on tactile object recognition and they also achieved promising performances in some applications, most of them a...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832387/ https://www.ncbi.nlm.nih.gov/pubmed/36643018 http://dx.doi.org/10.3389/fnins.2022.1070645 |