Melis Sahin
Papers
3
Total Citations
32
H-Index
2
About
Dr. Melis Sahin is a leading researcher at the intersection of human-robot interaction (HRI), augmented reality (AR), and manufacturing safety. Her work focuses on making collaborative robots more intuitive and trustworthy for human workers, with a particular emphasis on enhancing situational awareness and perceived safety in shared workspaces. Her most cited paper, "Supporting Human–Robot Interaction in Manufacturing with Augmented Reality and Effective Human–Computer Interaction: A Review and Framework" (2024, 19 citations), provides a foundational framework for integrating AR into industrial HRI, establishing her as a key voice in this emerging field. Dr. Sahin’s empirical work is equally impactful: her 2022 study on "Evaluation of Human Perceived Safety during HRC Task using Multiple Data Collection Methods" (11 citations) pioneered multi-modal approaches to measuring worker comfort, addressing the critical psychological barriers to effective collaboration. Most recently, her 2024 investigation into using AR to help workers predict robot motion in blind spots (2 citations) demonstrates her commitment to practical, human-centered solutions. By bridging advanced interface design with rigorous safety evaluation, Dr. Sahin is shaping the future of collaborative manufacturing—where technology adapts to human needs, not the other way around.
Research Focus
Key Achievements
Top Papers
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