Convolutional Neural Network-Based Visual Servoing for Eye-to-Hand Manipulator

Convolutional Neural Network-Based Visual Servoing for Eye-to-Hand Manipulator

We propose a CNN based visual servoing scheme for precise positioning of an eye-to-hand manipulator in which the control input of a robot is calculated directly from images by a neural network. In this paper, we propose Difference of Encoded Features driven Interaction matrix Network (DEFINet), a ne...

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Bibliographic Details
Main Authors: Fuyuki Tokuda, Shogo Arai, Kazuhiro Kosuge
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Visual servoing
neural network
manipulator
Online Access:https://ieeexplore.ieee.org/document/9464907/

Internet

https://ieeexplore.ieee.org/document/9464907/

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