Papers
8
Total Citations
85
H-Index
5
About
Dario Mengoli is a robotics researcher whose work sits at the intersection of autonomous systems and precision agriculture, with a focus on developing practical robotic solutions for small- to medium-sized orchards. His major contributions center on the design and control of both aerial and ground robotic platforms for agricultural tasks. His most cited work, "Autonomous Robotic Platform for Precision Orchard Management" (32 citations), introduces a complete hardware-software architecture for an autonomous ground vehicle tailored to orchard navigation. He has also pioneered the concept of an aerial manipulator—a miniature flying robot capable of physically interacting with its environment while airborne (19 citations). Mengoli’s research addresses critical challenges in agricultural robotics, including robust row-change maneuvers using LiDAR-based line detection, trajectory planning via ROS services, and data-driven model predictive control for skid-steering vehicles. More recently, he has explored low-cost thermal scanning platforms for fruit sunburn detection and lightweight methods for canopy porosity estimation to enable precision spraying. His work demonstrates a clear commitment to making advanced robotics accessible and effective for real-world farming, combining theoretical modeling with practical, field-tested implementations.
Research Focus
Key Achievements
Top Papers
- 1
- 2A prototype of aerial manipulator19 citations · 2012
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- 4Trajectory Planning ROS Service for an Autonomous Agricultural Robot8 citations · 2021
- 5Robust autonomous row-change maneuvers for agricultural robotic platform7 citations · 2021
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