Marina Di Vincenzo
Papers
3
Total Citations
14
H-Index
2
About
Marina Di Vincenzo is a rising researcher in human-robot interaction (HRI), with a focus on making robotic systems more accessible and intuitive for all users. Her work centers on developing and evaluating embodied interfaces—including natural human-drone controls and EEG-based systems—to enable people with low technological experience or physical impairments to direct robots effectively. In her most-cited paper (2022, 11 citations), she empirically compared a natural embodied interface with a traditional one, demonstrating the critical importance of usability in human-machine interaction. Her 2024 study on visual and auditory EEG interfaces for multi-stage robot control further advances shared autonomy for assistive robotics, allowing physically impaired users to command complex robot tasks. Most recently, she introduced M4Bench (2025), a multi-user, multi-robot, multi-goal, multi-device manipulation benchmark designed to address the lack of reproducibility in HRI research. Through these contributions, Di Vincenzo is shaping a future where robots are not only powerful but genuinely usable by everyone, regardless of technical background or physical ability.
Research Focus
Key Achievements
Top Papers
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