Daniele Gatti
Papers
1
Total Citations
5
H-Index
1
About
Daniele Gatti is a researcher at the forefront of human-robot interaction and augmented reality (AR) for extreme environments. His work centers on developing robust navigation and monitoring systems that enable seamless collaboration between humans and robots in hazardous settings, most notably at CERN. Gatti’s major contribution is an innovative architecture that fuses ultra-wideband positioning, ultrasonic sensors for heading, and an AR smart-glasses interface to create an intuitive, real-time control system. This approach leverages an Extended Kalman Filter-based trilateration algorithm to achieve precise localization, allowing operators to guide robots through harsh, unpredictable environments with enhanced situational awareness. His 2018 paper detailing this system has garnered 5 citations, reflecting its niche but critical impact on the field of telerobotics and industrial safety. Gatti’s work not only advances the practical deployment of robots in nuclear and high-energy physics facilities but also paves the way for more immersive, reliable human-robot teams in disaster response and infrastructure inspection.
Research Focus
Key Achievements
Top Papers
- 1