Maurizio Rossi

Papers

Total Citations

158

H-Index

About

Maurizio Rossi is a leading researcher in autonomous environmental monitoring, with a focus on gas detection and mapping using unmanned aerial vehicles (UAVs). His most-cited work, "Autonomous Gas Detection and Mapping With Unmanned Aerial Vehicles" (2015), has garnered 158 citations and introduced a battery-powered electronic nose (eNose) board designed for seamless integration with drones. This innovation enables real-time, autonomous sensing of hazardous gases, significantly advancing risk assessment and environmental surveillance. Rossi's contributions bridge embedded systems, robotics, and sensor technology, offering practical solutions for disaster response and pollution tracking. His research emphasizes low-power, lightweight designs that enhance UAV capabilities in complex environments. With over a decade of work in the field, Rossi has established himself as a key figure in mobile olfaction, inspiring new approaches to autonomous sensing. His achievements underscore the potential of drone-based systems to transform environmental monitoring, making his work essential reading for students and researchers in robotics, environmental engineering, and sensor networks.