Alessio Levratti
Papers
9
Total Citations
141
H-Index
6
About
Alessio Levratti’s research lies at the intersection of multi-robot coordination, industrial robotics, and autonomous navigation, with a strong emphasis on bringing advanced robotic solutions into real-world industrial settings. His most influential work, “Implementation of Coordinated Complex Dynamic Behaviors in Multirobot Systems” (47 citations), established decentralized control strategies that enable robot teams to achieve complex, coordinated tasks through local interactions—a foundational contribution to the field. Levratti is perhaps best known for spearheading the TIREBOT project, a collaborative robot designed to assist tire workshop operators by lifting and transporting heavy wheels. Through a series of publications (totaling over 50 citations), he demonstrated how gesture-based human-robot interaction, RGB-D perception, and safe navigation using danger fields can transform physically demanding jobs into safer, more efficient workflows. His earlier work on low-cost localization for autonomous lawnmowers and experimental comparisons of 3D vision sensors (23 citations) further showcases his talent for bridging cutting-edge perception with practical, cost-sensitive applications. With over 140 total citations across his portfolio, Levratti has proven himself a pragmatic innovator, consistently delivering robotic systems that are not only theoretically sound but also ready for deployment on the factory floor.
Research Focus
Key Achievements
Top Papers
- 1
- 2TIREBOT: A collaborative robot for the tire workshop29 citations · 2018
- 3
- 4TIREBOT: A novel tire workshop assistant robot14 citations · 2016
- 5
- 6An Inertial/RFID Based Localization Method for Autonomous Lawnmowers7 citations · 2012
- 7A low cost localization algorithm for an autonomous lawnmower5 citations · 2013
- 8
- 9