Enrico Mattei
Papers
6
Total Citations
48
H-Index
4
About
Enrico Mattei is an emerging researcher at the forefront of collaborative and soft robotics, with a particular focus on human–robot interaction (HRI), intelligent control systems, and novel actuator design. His work bridges cutting-edge artificial intelligence with mechanical engineering to advance safer, more intuitive robotic systems. Mattei's most impactful contribution to date applies emotional intelligence frameworks to trajectory planning in collaborative robots, earning 28 citations in 2024 alone — a remarkable achievement for such a recent publication. This work addresses a critical safety challenge: dynamically modifying robot paths in response to human presence within shared workspaces. Complementing this, his research into brain-computer interfaces (BCIs) explores how EEG-based deep learning architectures can decode motor intentions, potentially enabling direct neural control of robotic arms. In the domain of soft robotics, Mattei has pioneered reconfigurable soft pneumatic actuators featuring modular reinforcement systems, expanding the adaptability of soft devices beyond traditional fixed-workspace limitations. He has also developed AI-driven methodologies, using artificial neural networks to streamline the mechanical design of pneumatic joints. Collectively accumulating nearly 50 citations across publications within a single year, Mattei is rapidly establishing himself as a significant voice in next-generation human-centered robotics research.
Research Focus
Key Achievements
Top Papers
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