Davide Brunelli
Papers
6
Total Citations
272
H-Index
5
About
Davide Brunelli is a leading researcher at the intersection of embedded systems, robotics, and environmental monitoring. His work focuses on creating intelligent, autonomous systems—from drones and mobile robots to wearable medical devices—that can sense, decide, and act with minimal human intervention. A standout contribution is his development of a battery-powered electronic nose (eNose) for UAVs, enabling autonomous gas detection and mapping for environmental risk assessment (158 citations). He has also pioneered low-cost, wearable surface EMG acquisition systems for prosthetic hand control (71 citations), advancing intelligent mobile medical devices. More recently, Brunelli has driven innovation in autonomous navigation, designing self-deployable UWB infrastructure for robotic exploration and a plug-and-play TinyML-based vision system for drone automatic landing. His work on infrastructure-less leader-follower systems for compact UAVs and adaptive multi-robot patrolling algorithms further demonstrates his impact on real-world, dynamic environments. With over 270 citations across his most-cited works, Brunelli’s research is shaping the future of autonomous systems, from disaster rescue to precision agriculture, making him a pivotal figure in embedded intelligence and robotics.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Gas Detection and Mapping With Unmanned Aerial Vehicles158 citations · 2015
- 2
- 3On-Line Optimal Ranging Sensor Deployment for Robotic Exploration25 citations · 2021
- 4A Plug-and-Play TinyML-based Vision System for Drone Automatic Landing10 citations · 2023
- 5
- 6