Grasping Complex-Shaped and Thin Objects Using a Generative Grasping Convolutional Neural Network
Vision-based pose detection and grasping complex-shaped and thin objects are challenging tasks. We propose an architecture that integrates the Generative Grasping Convolutional Neural Network (GG-CNN) with depth recognition to identify a suitable grasp pose. First, we construct a training dataset wi...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2023-03-01
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| Serie: | Robotics |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2218-6581/12/2/41 |
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