Marzia De Lucia
Papers
1
Total Citations
4
H-Index
1
About
Marzia De Lucia is a leading researcher at the intersection of cognitive neuroscience and human-robot interaction, whose work explores how the brain integrates visual and motor information to shape our sense of agency and control. Her most-cited paper, "Neural signatures of visuo-motor integration during human-robot interactions" (2023, 4 citations), investigates the neural underpinnings of how we adapt to artificial movements in robotically and virtually mediated environments—a critical question as technology increasingly blurs the line between self-generated and machine-driven actions. De Lucia’s contributions have advanced our understanding of the neural mechanisms that support the feeling of being in control, even when our actions result in synthetic outcomes. Her research has implications for designing more intuitive human-robot interfaces and improving rehabilitation technologies. By bridging fundamental neuroscience with applied robotics, De Lucia is helping to shape a future where humans and machines interact seamlessly, grounded in a deep understanding of the brain’s plasticity and its capacity to adapt to new forms of action.
Research Focus
Key Achievements
Top Papers
- 1