Vignesh Velmurugan
Papers
3
Total Citations
8
H-Index
2
About
Vignesh Velmurugan is a rising researcher at the intersection of human-robot interaction, educational technology, and rehabilitation robotics. His work critically examines how people—especially children—perceive, trust, and learn from autonomous systems. In his highly cited 2024 study, *When the Robotic Maths Tutor is Wrong*, Velmurugan investigated whether primary school children could identify errors made by a ChatGPT-powered robot tutor, revealing crucial insights into AI literacy and trust calibration in educational settings. This work has already garnered 5 citations for its timely exploration of LLM integration in classrooms. Velmurugan also contributes to assistive robotics, as shown in his 2021 paper on requirements for home-based rehabilitation devices for hand and wrist therapy after stroke, addressing a critical need for independent recovery. Most recently, his 2025 comparative analysis of intention- and emotion-attribution to two distinct robot dogs—Miro-E and Unitree Go1—explores how robotic morphology influences human social perception. Through these diverse studies, Velmurugan is shaping our understanding of how robots can be effectively and responsibly deployed in both education and healthcare.
Research Focus
Key Achievements
Top Papers
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