Matteo Caruso
Papers
7
Total Citations
57
H-Index
4
About
Matteo Caruso is a robotics researcher whose work spans climbing robots, tethered mobile systems, and crowd navigation. His most cited paper, "Upside-Down Robots: Modeling and Experimental Validation of Magnetic-Adhesion Mobile Systems" (2019, 20 citations), introduces a novel family of climbing robots that use permanent magnets to adhere to vertical surfaces, with a unique two-module sandwich configuration. Caruso also tackles the challenging control of tethered mobile robots, modeling them as redundant manipulators in his 2021 paper (15 citations), which has become a foundational approach in the field. His recent focus on autonomous navigation in crowded environments is evident in two reinforcement learning-based papers (2023, 7 citations each), where he develops neural controllers for differential drive robots to safely navigate dense human crowds. Additionally, Caruso has contributed to space robotics with a dynamic model of a robotic lander using variable radius drums (2020, 4 citations), and his 2024 work leverages machine learning for terrain traversability in mobile robotics. With over 57 total citations across these papers, Caruso demonstrates a versatile impact on both theoretical modeling and practical robot design, making him a notable figure in mobile robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2On the Modelling of Tethered Mobile Robots as Redundant Manipulators15 citations · 2021
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