Elena Merlo
Papers
5
Total Citations
87
H-Index
3
About
Elena Merlo is an emerging researcher whose work sits at the intersection of human-robot collaboration, ergonomics, and intuitive robot programming. Her most influential contribution, "An Ergonomic Role Allocation Framework for Dynamic Human–Robot Collaborative Tasks" (2023, 64 citations), established a principled approach to dynamically distributing work between humans and robots based on real-time ergonomic risk assessment — a critical advance for safer, more adaptive manufacturing environments. Building on this, her 2022 paper further developed predictive ergonomics models to enable cobots to rapidly reconfigure alongside changing production demands, addressing a longstanding barrier to flexible automation deployment. More recently, Merlo has pivoted toward democratizing robot programming for non-experts. Leveraging information theory and observational learning, her 2025 publications explore how robots can interpret bimanual human demonstrations and generate actionable plans without requiring specialized coding expertise. Her integration of large language models for human-in-the-loop action replanning reflects a forward-looking vision of collaborative, adaptive robotics accessible to everyday users. With over 80 cumulative citations and publications spanning ergonomics, programming-by-demonstration, and AI-assisted robotics, Merlo is establishing herself as a versatile and impactful voice in next-generation human-robot interaction research.
Research Focus
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Top Papers
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