John Angelopoulos

Orcid: 0000-0003-1191-4935

According to our database1, John Angelopoulos authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Unmanned Aerial Vehicle (UAV) path planning and control assisted by Augmented Reality (AR): the case of indoor drones.
Int. J. Prod. Res., 2024

2023
A hybrid teaching factory model towards personalized education 4.0.
Int. J. Comput. Integr. Manuf., December, 2023

The Future of the Human-Machine Interface (HMI) in Society 5.0.
Future Internet, May, 2023

Manufacturing personnel task allocation taking into consideration skills and remote guidance based on augmented reality and intelligent decision making.
Int. J. Comput. Integr. Manuf., January, 2023

Adaptive Control of 3D Printer Based on Digital Twin Concept.
Proceedings of the Innovative Intelligent Industrial Production and Logistics, 2023

2022
Automating Quality Control Based on Machine Vision Towards Automotive 4.0.
Proceedings of the Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022

Design and Development of a G-Code Generator for CNC Machine Tools Based on Augmented Reality (AR).
Proceedings of the Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies, 2022

2021
Integrated and adaptive AR maintenance and shop-floor rescheduling.
Comput. Ind., 2021

Design and Development of an Edge-Computing Platform Towards 5G Technology Adoption for Improving Equipment Predictive Maintenance.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

2020
Equipment Design Optimization Based on Digital Twin Under the Framework of Zero-Defect Manufacturing.
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

Cycle Time Estimation Model for Hybrid Assembly Stations Based on Digital Twin.
Proceedings of the Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems, 2020


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