Matteo Corno
Papers
9
Total Citations
53
H-Index
5
About
Matteo Corno is a leading researcher in autonomous mobile robotics, with a focus on urban navigation and assistive technologies. His work spans key areas including sensorimotor skill training through haptics, autonomous street crossing for robots, and sidewalk practicability assessment. Corno’s major contributions include developing robust localization algorithms that integrate LiDAR and camera data, as demonstrated in his comparative experimental studies, and creating a Sidewalk Robot Feasibility Index to measure urban accessibility. His research on vision-based pole-like obstacle detection and two-wheeled inverted pendulum control addresses critical challenges in urban robot navigation. With over 50 citations across his most-cited papers, Corno’s impact is evident in advancing autonomous delivery drones and inclusive design for visually impaired individuals through the BUDD-e project. Notable achievements include his work on plant-specific cultivation pipelines and modular odometry-improving localization, which enhance robot reliability in complex environments. Corno’s interdisciplinary approach, combining robotics with accessibility and agriculture, positions him as a key figure in shaping autonomous systems for real-world urban applications.
Research Focus
Key Achievements
Top Papers
- 1Robotics: Science and Systems II20 citations · 2006
- 2Extended target tracking for autonomous street crossing7 citations · 2020
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- 8Mobile Robot Localization: a Modular, Odometry-Improving Approach2 citations · 2024
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