AI-enhanced vision system for dispensing process monitoring and quality control in manufacturing of large parts-Reference-Cited by-同舟云学术

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AI-enhanced vision system for dispensing process monitoring and quality control in manufacturing of large parts

Published:2022 Issue: Volume:107 Page:1275-1280
ISSN:2212-8271
Container-title:Procedia CIRP
language:en
Short-container-title:Procedia CIRP

Author:

Prezas Loukas,Michalos George,Arkouli Zoi,Katsikarelis Antonis,Makris Sotiris

Publisher

Elsevier BV

Subject

General Medicine

Reference29 articles.

1. Manufacturing Systems: Theory and Practice;Chryssolouris,2006

2. AI-enhanced cooperating robots for reconfigurable manufacturing of large parts;Arkouli;IFAC-PapersOnLine,2021

3. Global Market Insights (2017) Fluid Dispensing Systems Market Share 2021-2027 | Industry Forecast

4. Müller C (2019) IFR Press Conference. IFR Press Conf 1-32

5. Enabling flexibility in manufacturing by integrating shopfloor and process perception for mobile robot workers;Bavelos;Appl Sci,2021

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1. A multi-purpose robot perception system enabling closed-loop control for zero defect manufacturing in gluing processes of large parts;Robotics and Autonomous Systems;2024-11

2. Movement and binding control strategy based on a new type of rebar-binding robot;Industrial Robot: the international journal of robotics research and application;2024-05-03

3. A low-cost vision-based weld-line detection and measurement technique for robotic welding;International Journal of Computer Integrated Manufacturing;2024-02-18

4. Seamless Human–Robot Collaboration in Industrial Applications;Lecture Notes in Mechanical Engineering;2024

5. AI Enhanced Processing of Large Parts: Volume Monitoring and Control of Robotic Gluing Application;Lecture Notes in Mechanical Engineering;2024

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