Massimiliano Bertoni

University of Padua, Engineering (Italy)

Papers

Total Citations

H-Index

About

Massimiliano Bertoni is a robotics researcher whose work centers on advancing human-robot interaction and autonomous navigation in industrial settings. His primary research areas include interaction force sensing, sensor integration, and cost-effective robotic systems for manufacturing and logistics. Bertoni’s major contribution lies in improving the accuracy and reliability of force sensing in collaborative robots without adding expensive hardware. His most-cited paper (14 citations) investigates the interaction force sensing accuracy of the Franka Emika Panda robot, demonstrating how joint torque sensors can be leveraged to achieve precise force knowledge—a critical capability for safe human-robot collaboration. This work has practical implications for reducing system complexity and cost in real-world applications. Bertoni has also explored low-cost navigation solutions, proposing a system that uses an RGB-D sensor network to guide mobile manipulators in automated warehouses. While his citation counts are still building, his research addresses key challenges in modernizing manufacturing facilities, making him a promising contributor to the field of industrial robotics.