Papers
5
Total Citations
71
H-Index
4
About
M. Mattei’s research focuses on the intersection of robotics, sensor fault detection, and autonomous surveillance systems, with a particular emphasis on enhancing the reliability and intelligence of mobile platforms. His most significant contribution lies in robust fault detection and isolation for proprioceptive sensors in robot manipulators, a foundational work that has garnered 46 citations and established him as a key figure in industrial robotics safety. Expanding on this, he developed analytical redundancy approaches using state observers and H∞ methods to detect sensor faults, ensuring operational integrity in complex environments. Mattei also pioneered the use of autonomous mobile robots for homeland security, proposing intelligent surveillance systems that reduce reliance on fixed installations—a concept that has influenced modern security frameworks. His work on path planning for wheeled mobile robots using core path graphs further advanced autonomous navigation. More recently, he has explored consensus-based Kalman filters for target localization in emergency scenarios, integrating UAVs for rapid search and rescue operations. With a career spanning from foundational sensor diagnostics to cutting-edge aerial surveillance, Mattei’s research demonstrates a sustained commitment to making autonomous systems safer, smarter, and more responsive to real-world challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2Mobile sensor networks based on autonomous platforms for homeland security12 citations · 2012
- 3Path Planning for Wheeled Mobile Robots Using Core Paths Graphs6 citations · 2010
- 4Sensor Fault Detection and Isolation for Robot Manipulators5 citations · 2005
- 5