Marco Carnevale
Papers
16
Total Citations
167
H-Index
7
About
Marco Carnevale is a robotics and manufacturing researcher whose work sits at the intersection of collaborative robotics, human-robot interaction, and smart manufacturing. His research focuses on integrating collaborative robots — or "cobots" — into flexible, small-scale production environments, addressing the growing demand for personalized manufacturing in small and medium enterprises. Among his most recognized contributions is a widely adopted methodology for flexible cobot implementation in smart manufacturing systems (2022, 41 citations), which has become a key reference for practitioners navigating Industry 4.0 and 5.0 transitions. Carnevale has pioneered innovative applications of cobots across diverse industries, including footwear manufacturing (2020, 28 citations) and end-of-line material handling (2024, 14 citations). Particularly distinctive is his work bridging neurotechnology and robotics: his research on brain-computer interfaces for human-cobot collaboration in industrial settings (2022, 16 citations; 2021, 13 citations) represents a cutting-edge frontier in intuitive robot control. He has also contributed to deep learning-based robotic sorting, 3D vision-guided trajectory generation, and robotic additive manufacturing. With over 130 cumulative citations, Carnevale's portfolio reflects a sustained commitment to making advanced robotics accessible, safe, and practically deployable in real-world industrial environments.
Research Focus
Key Achievements
Top Papers
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- 7Deep learning-based robotic sorter for flexible production7 citations · 2023
- 8On cobot programming in industrial tasks: a test case7 citations · 2022
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- 10A path planning method for robotic Additive Manufacturing4 citations · 2021