Grasping Complex-Shaped and Thin Objects Using a Generative Grasping Convolutional Neural Network

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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Bibliographic Details
Main Authors: Jaeseok Kim, Olivia Nocentini, Muhammad Zain Bashir, Filippo Cavallo
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Robotics
Subjects:
generative grasping convolutional neural networks
surgical tools
Online Access:https://www.mdpi.com/2218-6581/12/2/41

Internet

https://www.mdpi.com/2218-6581/12/2/41

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