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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Dettagli Bibliografici
Pubblicato in:Front Neurorobot
Autori principali: Deng, Zhen, Gao, Ge, Frintrop, Simone, Sun, Fuchun, Zhang, Changshui, Zhang, Jianwei
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2019
Soggetti:
Neuroscience
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6684762/
https://ncbi.nlm.nih.gov/pubmed/31417391
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2019.00060
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