Papers
2
Total Citations
8
H-Index
2
About
Gayathri Menon is a researcher at the intersection of human-robot interaction, educational technology, and medical robotics. Her work explores how robots can serve as collaborative learning partners and assistive tools across diverse contexts. In her most-cited paper, "Co-Learning around Social Robots with School Pupils and University Students – Focus on Data Privacy Considerations" (2023, 6 citations), Menon pioneers a co-learning framework where elementary school pupils and university students engage together with social robots. This novel approach leverages robotics as a motivational tool while surfacing critical insights into data privacy and intergenerational learning dynamics. Her research demonstrates that bringing different learner groups together around robots can yield fresh perspectives on both pedagogy and ethical design. Menon also contributes to medical robotics through her paper "Design of Robot Manipulators and Functional Classification of Medical Robots" (2022, 2 citations), which systematically categorizes robotic systems for surgery, rehabilitation, and assistive tasks. By coupling robotic information processing with human capabilities, her work aims to enhance surgical precision, support recovery, and improve daily living for differently-abled individuals. Menon’s research is notable for its human-centered approach, emphasizing collaboration, privacy, and real-world impact.
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