VGQ-CNN: Moving Beyond Fixed Cameras and Top-Grasps for Grasp Quality Prediction

We present the Versatile Grasp Quality Convolutional Neural Network (VGQ-CNN), a grasp quality prediction network for 6-DOF grasps. VGQ-CNN can be used when evaluating grasps for objects seen from a wide range of camera poses or mobile robots without the need to retrain the network. By defining the...

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Bibliographic Details

Published in:	2022 International Joint Conference on Neural Networks (IJCNN) pp. 1 - 8
Main Authors:	Konrad, Anna, McDonald, John, Villing, Rudi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 18-07-2022
Subjects:	6-DOF grasps CNN flexible grasp quality grasping machine learning mobile robot robotics
Online Access:	Get full text
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