Marialuisa Menanno
Papers
2
Total Citations
19
H-Index
2
About
Marialuisa Menanno is a researcher at the forefront of industrial ergonomics and human-robot collaboration, leveraging cutting-edge computer vision and machine learning to transform workplace safety. Her primary research focuses on developing automated systems for ergonomic risk assessment, specifically targeting the prevention of work-related musculoskeletal disorders (WMSDs)—a leading cause of occupational injury. Menanno’s major contribution lies in creating a novel methodology that uses 3D human pose estimation from digital images or video to calculate precise joint angles, enabling real-time, objective ergonomic evaluations without the need for wearable sensors. Her most cited work, "An Ergonomic Risk Assessment System Based on 3D Human Pose Estimation and Collaborative Robot" (2024, 17 citations), demonstrates how Industry 4.0 technologies can be harnessed to optimize worker posture and safety. This approach not only automates risk assessment but also integrates with collaborative robots to dynamically adjust tasks, reducing physical strain. By bridging computer vision, machine learning, and robotics, Menanno’s research offers a scalable, data-driven path toward healthier, more efficient industrial environments, marking her as a key innovator in the future of smart manufacturing and occupational health.
Research Focus
Key Achievements
Top Papers
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