Fabio Narducci

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About

Fabio Narducci is a leading researcher in social robotics and ambient assisted living, with a focus on creating intuitive, human-robot interactions that bridge the physical and digital worlds. His work centers on developing autonomous systems that perceive and respond to human needs, particularly for vulnerable populations. A key contribution is his pioneering use of digital twinning for the Pepper humanoid robot, as detailed in his highly cited 2021 paper (34 citations), where he created a virtual replica to enhance natural interaction and body language understanding in assisted living environments. Narducci also advances autonomous navigation, notably through monocular vision-aided depth measurement from RGB images (22 citations), enabling UAVs and robots to navigate without expensive depth sensors. His research on the "Fog" paradigm explores how robots can maintain real-time, emotionally intelligent communication even under constrained network conditions. By integrating tactile feedback, virtual experiences, and empathetic AI, Narducci is shaping a future where robots are not just tools, but responsive companions—making him a key figure in the evolution of ambient intelligence and human-centered robotics.