Deep Learning-Empowered Robot Vision for Efficient Robotic Grasp Detection and Defect Elimination in Industry 4.0-Reference-Cited by-同舟云学术

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Deep Learning-Empowered Robot Vision for Efficient Robotic Grasp Detection and Defect Elimination in Industry 4.0

Published:2023-11-15 Issue: Volume:19 Page:63
ISSN:
Container-title:ECSA 2023
language:
Short-container-title:

Author:

Yazid Yassine¹²,Guerrero-González Antonio²,El Oualkadi Ahmed²^ORCID,Arioua Mounir²

Affiliation:

1. Department of Automation, Electrical Engineering and Electronic Technology, Universidad Politécnica de Cartagena, Plaza del Hospital 1, 30202 Cartagena, Spain

2. Innovative Systems Engineering Laboratory (ISI), National School of Applied Sciences of Tetuan (ENSATe), Abdelmalek Essaadi University, Tétouan 93000, Morocco

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/58/1/63/pdf

Reference15 articles.

1. A Survey of Network Automation for Industrial Internet-of-Things Towards Industry 5.0;Chi;IEEE Trans. Ind. Inform.,2022

2. Real-time deep anomaly detection framework for multivariate time-series data in industrial IoT;Nizam;IEEE Sens. J.,2022

3. Challenges in the application of digital transformation to inspection and maintenance of bridges;Futai;Struct. Infrastruct. Eng.,2022

4. Hajari, N., Lugo Bustillo, G., Sharma, H., and Cheng, I. (2020). Marker-Less 3d Object Recognition and 6d Pose Estimation for Homogeneous Textureless Objects: An RGB-D Approach. Sensors, 20.

5. Zhihong, C., Hebin, Z., Yanbo, W., Binyan, L., and Yu, L. (2017, January 26–28). A vision-based robotic grasping system using deep learning for garbage sorting. Proceedings of the 2017 36th Chinese Control Conference (CCC), Dalian, China.

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