Massimo Stefanoni
Papers
7
Total Citations
33
H-Index
4
About
Massimo Stefanoni is a leading researcher at the intersection of mobile robotics, sensor fusion, and magnetic field-based localization. His work addresses a critical challenge in autonomous navigation: the reliable use of magnetometers in environments plagued by hard- and soft-iron magnetic disturbances. Stefanoni has pioneered novel approaches that combine fingerprinting techniques with multiple wireless technologies, achieving robust indoor positioning for mobile robots. His most cited work (7 citations) compares neural networks and fuzzy inference systems for identifying magnetic disturbances, while his 2023 paper on fingerprint-based fusion of magnetic field data with wireless anchors has garnered 6 citations for its practical, deployable solution. He has also developed a robotic arm-based measurement system to simulate indoor magnetic disturbances and proposed dipole model-based compensation using magnetometer arrays. With a total of over 30 citations across his key publications, Stefanoni’s contributions are foundational for applications ranging from industrial robotics to smart environments. His comprehensive survey on indoor and outdoor localization techniques further underscores his role as a synthesizer and innovator in the field.
Research Focus
Key Achievements
Top Papers
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- 4Dipole Model-Based Disturbance Compensation Using Magnetometer Arrays4 citations · 2025
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