Theofilos Mastos
Papers
2
Total Citations
9
H-Index
2
About
Theofilos Mastos is a researcher at the forefront of integrating artificial intelligence and robotics to advance Industry 4.0. His work focuses on two critical pillars of modern manufacturing: intelligent visual perception and autonomous robotic control. In his highly cited 2021 paper, "Multi-modal Variational Faster R-CNN for Improved Visual Object Detection in Manufacturing" (6 citations), Mastos introduced a novel AI framework that significantly enhances object detection accuracy and robustness for industrial tasks like robot navigation and quality control. Building on this, his 2025 work, "A Novel Autonomous Robotic Vehicle-Based System for Real-Time Production and Safety Control in Industrial Environments" (3 citations), presents a groundbreaking system where Autonomous Mobile Robots (AMRs) are deployed for real-time production monitoring and safety management. This system directly supports human workers, embodying the collaborative spirit of Industry 4.0. By combining state-of-the-art machine learning with practical robotic applications, Mastos is helping to define the future of smart, safe, and efficient factories.
Research Focus
Key Achievements
Top Papers
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