Papers
9
Total Citations
108
H-Index
5
About
Massimiliano Nitti is an Italian researcher whose work sits at the intersection of computer vision, robotics, and industrial automation. His primary contributions span 3-D environmental reconstruction, autonomous robot navigation and localization, and vision-based sensing systems for demanding real-world applications. Nitti's most influential work introduced HiPER 3-D, a patented omnidirectional sensor capable of high-precision environmental reconstruction, which has garnered 37 citations and established him as a pioneer in wide-field-of-view 3-D scanning. Building on this foundation, he has made significant strides in indoor robot localization, developing visual odometry systems for omnidirectional automated guided vehicles (AGVs) used in manufacturing environments — work that has attracted 27 citations and seen continued development through 2024. His more recent research integrates deep learning into robotics, notably through the Optical Encoder Neural Network (OE-net), a CNN-based approach to robot pose estimation that reflects his engagement with modern AI-driven methodologies. Beyond robotics, Nitti has extended his expertise into aerospace and advanced materials, contributing to automated aircraft interior inspection (VISTA) and non-destructive quality control for carbon fiber composites. Collectively, his research demonstrates a consistent commitment to translating sophisticated sensing and machine learning techniques into practical industrial solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Vision-Based Odometer for Localization of Omnidirectional Indoor Robots27 citations · 2020
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- 5Laser Profilometry Aiding Smart Vehicle Control6 citations · 2014
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- 8An environmental 3-D scanner with wide fov geometric parameters set up3 citations · 2010
- 9