Matteo Forlini
Papers
8
Total Citations
75
H-Index
5
About
Matteo Forlini is a leading researcher in collaborative robotics, with a focus on human-robot interaction and Industry 5.0 applications. His work centers on developing safe, intuitive, and efficient robotic systems that work alongside human operators, particularly in handcrafted manufacturing processes. Forlini's major contributions include the design of cobot-assisted polishing systems enhanced by virtual reality and human-in-the-loop control, as well as advanced collision avoidance techniques using real-time skeleton tracking. His research has practical implications for industries seeking to combine automation with human craftsmanship, as demonstrated in his work on shoe-polishing processes. With over 75 citations across his most-cited papers, Forlini's impact is evident in both academic and industrial contexts. Notable achievements include his experimental evaluations of collision avoidance algorithms on the UR5e collaborative robot and the development of adaptive gesture recognition systems for dynamic scenarios. Beyond technical contributions, Forlini is committed to science communication, having created a board game to disseminate collaborative robotics and AI concepts to non-academic audiences. His work represents a significant step toward flexible, human-centered manufacturing systems that prioritize both productivity and safety.
Research Focus
Key Achievements
Top Papers
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