Papers
12
Total Citations
489
H-Index
8
About
David Baudry is a prominent researcher whose work sits at the intersection of digital twins, extended reality, human-robot collaboration, and smart manufacturing. Operating within the transformative landscape of Industry 4.0 and 5.0, Baudry has made foundational contributions to how virtual and cyber-physical systems can be designed, simulated, and optimized for real-world industrial environments. His most cited work, a 2019 paper on co-simulation environments combining digital twins and virtual reality (197 citations), established a compelling framework for designing and assessing industrial workstations remotely and collaboratively. Building on this, Baudry pioneered auto-labeled data generation using virtual reality for human action recognition in human-robot collaboration contexts, and released InHARD, a benchmark dataset that has become a valuable resource for the research community. His investigations extend into flexible manufacturing scheduling, IoT-driven fog computing architectures, and augmented perception for resilient robotic systems. With a cumulative citation count exceeding 480 across his major publications, Baudry's research has demonstrably shaped both academic discourse and practical toolkits — including the INTERVALES framework for interactive industrial simulation. His interdisciplinary vision, connecting robotics, immersive technologies, and machine learning, makes his work essential reading for anyone exploring the future of intelligent manufacturing.
Research Focus
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