Yassine Feddoul
HESAM Université, École nationale supérieure d'arts et métiers
Papers
3
Total Citations
43
H-Index
2
About
Yassine Feddoul is a forward-thinking researcher at the intersection of human-machine collaboration and intelligent manufacturing. His work centers on integrating digital twin technology with extended reality (XR) and robotic agents to create resilient, flexible production systems for the Industry of the Future. Feddoul’s most impactful contribution is a systematic literature review on human-machine collaboration, which has garnered 38 citations and serves as a foundational resource for researchers exploring the synergy between digital twins, robotics, and XR. Building on this, he introduced the concept of “Augmented Perception,” a novel approach that empowers flexible manufacturing systems by enabling real-time adaptation through digital twin-driven robotic agents. This emerging framework, detailed in his 2024 and 2025 publications, addresses the critical need for reconfigurable layouts and seamless integration of new systems in response to personalized customer demands. Feddoul’s work is shaping how manufacturing environments can dynamically evolve, bridging the gap between virtual models and physical operations. His research is particularly notable for its practical focus on enhancing system resilience and adaptability, making it highly relevant for engineers and scholars advancing smart factory paradigms.
Research Focus
Key Achievements
Top Papers
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