Carlo Riccio
Papers
2
Total Citations
19
H-Index
2
About
Carlo Riccio is a researcher at the forefront of ergonomics and human-robot collaboration, leveraging cutting-edge computer vision and machine learning to transform workplace safety. His primary research focuses on developing automated systems for ergonomic risk assessment, specifically targeting the prevention of work-related musculoskeletal disorders (WMSDs). Riccio’s major contribution lies in creating a methodology that uses 3D human pose estimation to calculate joint angles from digital images or videos, enabling a more accurate and automated evaluation of ergonomic risks. This work integrates Industry 4.0 technologies, such as collaborative robots, to optimize human-robot interaction and reduce physical strain on workers. His most-cited paper, “An Ergonomic Risk Assessment System Based on 3D Human Pose Estimation and Collaborative Robot” (2024), has garnered 17 citations, reflecting its timely relevance in the field. Riccio’s research not only advances theoretical understanding but also offers practical tools for real-world applications, making him a notable figure in the intersection of ergonomics, robotics, and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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