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Hardness Recognition of Robotic Forearm Based on Semi-supervised Generative Adversarial Networks
The hardness recognition is of great significance to tactile sensing and robotic control. The hardness recognition methods based on deep learning have demonstrated a good performance, however, a huge amount of manually labeled samples which require lots of time and labor costs are necessary for the...
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| Publicado no: | Front Neurorobot |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6743412/ https://ncbi.nlm.nih.gov/pubmed/31551748 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2019.00073 |
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