Attention Based Visual Analysis for Fast Grasp Planning With a Multi-Fingered Robotic Hand

We present an attention based visual analysis framework to compute grasp-relevant information which helps to guide grasp planning using a multi-fingered robotic hand. Our approach uses a computational visual attention model to locate regions of interest in a scene and employ a deep convolutional neu...

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Detalles Bibliográficos
Autores principales: Deng, Zhen, Gao, Ge, Frintrop, Simone, Sun, Fuchun, Zhang, Changshui, Zhang, Jianwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684762/
https://www.ncbi.nlm.nih.gov/pubmed/31417391
http://dx.doi.org/10.3389/fnbot.2019.00060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684762/
https://www.ncbi.nlm.nih.gov/pubmed/31417391
http://dx.doi.org/10.3389/fnbot.2019.00060

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