OHO: A Multi-Modal, Multi-Purpose Dataset for Human-Robot Object Hand-Over

In the context of collaborative robotics, handing over hand-held objects to a robot is a safety-critical task. Therefore, a robust distinction between human hands and presented objects in image data is essential to avoid contact with robotic grippers. To be able to develop machine learning methods f...

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Detalles Bibliográficos
Autores principales: Stephan, Benedict, Köhler, Mona, Müller, Steffen, Zhang, Yan, Gross, Horst-Michael, Notni, Gunther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537499/
https://www.ncbi.nlm.nih.gov/pubmed/37765862
http://dx.doi.org/10.3390/s23187807

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537499/
https://www.ncbi.nlm.nih.gov/pubmed/37765862
http://dx.doi.org/10.3390/s23187807

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