Catalina Requejo
Papers
1
Total Citations
6
H-Index
1
About
Catalina Requejo is a leading researcher at the intersection of human factors and intelligent industrial robotics, with a primary focus on creating safer, healthier, and more adaptive human–robot collaboration environments. Her most-cited work, "HUMANISE: Human-Inspired Smart Management, towards a Healthy and Safe Industrial Collaborative Robotics" (2023, 6 citations), introduces a pioneering framework that integrates real-time health monitoring and ergonomic risk assessment into collaborative robotic systems. This research addresses the critical challenge of an ageing workforce by enabling robots to dynamically adapt to individual workers’ physical conditions, thereby preventing musculoskeletal disorders and enhancing overall workplace safety. Requejo’s contributions are particularly notable for their human-centric approach, moving beyond traditional safety barriers to embed intelligence that responds to human fatigue, posture, and health status. Her work has significant implications for Industry 5.0, where human well-being is prioritized alongside productivity. By bridging robotics, biomechanics, and smart management, Requejo is shaping the future of inclusive and resilient manufacturing systems, ensuring that technological progress does not come at the cost of worker health.
Research Focus
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Top Papers
- 1