Luca Fanucci
Papers
5
Total Citations
38
H-Index
4
About
Luca Fanucci is a leading researcher in assistive robotics and embedded artificial intelligence, with a focus on developing intelligent human–machine interfaces for people with severe motor impairments. His major contributions center on wheelchair-mounted robotic arms (WMRAs) that empower individuals with conditions such as spinal muscular atrophy and cerebral palsy to perform daily tasks autonomously. Fanucci pioneered the use of convolutional neural networks—including a YOLOv2-based system—for real-time control of assistive manipulators, and developed embedded implementations of eye-in-hand visual servoing that enable precise object interaction. He also advanced 3D scene reconstruction using fully convolutional denoising autoencoders, allowing single depth images to generate complete 3D representations. His work on position-based visual servoing with parallel tracking and mapping, as well as monocular camera-based object detection and spatial coordinate extraction, has significantly improved the autonomy and usability of assistive robotic systems. With over 38 citations across his most-cited papers, Fanucci’s research directly bridges cutting-edge AI and embedded systems to create practical, life-changing technologies for individuals with upper limb disabilities.
Research Focus
Key Achievements
Top Papers
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