Marina Carulli
Papers
2
Total Citations
34
H-Index
2
About
Marina Carulli’s research lies at the intersection of human-robot interaction, virtual reality (VR), and industrial automation, with a focus on making collaborative robotics safer and more intuitive for human operators. Her most cited work, “Using Virtual Reality to Test Human-Robot Interaction During a Collaborative Task” (2019, 30 citations), pioneered the use of VR as a tool to evaluate operators’ psychophysiological responses during human-robot collaboration, offering a low-risk, high-fidelity method for designing efficient manufacturing workflows. Building on this, her 2022 paper on a “Context-Aware Industrial Robot Testing” environment introduced a low-cost virtual prototyping system for testing obstacle avoidance and object detection in collaborative settings—critical for ensuring safety before physical deployment. Carulli’s contributions are particularly notable for integrating human factors into robotic system design, bridging engineering and cognitive ergonomics. Her work has been recognized for its practical impact on Industry 4.0, providing accessible simulation tools that reduce development costs while enhancing operator well-being. With a growing citation footprint, Carulli is establishing herself as a key voice in the future of safe, human-centered automation.
Research Focus
Key Achievements
Top Papers
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