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6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping
6D pose recognition has been a crucial factor in the success of robotic grasping, and recent deep learning based approaches have achieved remarkable results on benchmarks. However, their generalization capabilities in real-world applications remain unclear. To overcome this gap, we introduce 6IMPOSE...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565011/ https://www.ncbi.nlm.nih.gov/pubmed/37830110 http://dx.doi.org/10.3389/frobt.2023.1176492 |