Papers
6
Total Citations
86
H-Index
3
About
Fabrice Duval is a leading researcher at the intersection of human-machine collaboration, digital twins, and industrial robotics. His work focuses on creating safer, more flexible manufacturing systems by integrating extended reality (XR) technologies with robotic agents. Duval’s most cited paper (2023, 38 citations) provides a systematic literature review of how digital twins and robotics interface with XR to enhance human-machine collaboration in industry. He also developed a novel dataset (2020, 31 citations) using UWB and motion capture systems to dynamically track people and goods in industrial sites, directly addressing safety and access regulation challenges. His research on modular mobile manipulators explores coalition formation for distributed transportation tasks, offering solutions to flexibility problems in manufacturing. More recently, Duval has pioneered the concept of “Augmented Perception,” an approach that leverages digital twins to empower resilient, reconfigurable manufacturing systems. He has also contributed synthetic datasets and benchmarks for 6D pose estimation of industrial objects. With a growing citation impact and a clear trajectory toward Industry 5.0, Duval’s work is shaping the future of adaptive, human-centric automation.
Research Focus
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