Avni Hulyalkar
Papers
2
Total Citations
15
H-Index
2
About
Avni Hulyalkar is a pioneering researcher at the intersection of socially assistive robotics (SAR) and cognitive health, whose work is redefining how technology supports human well-being across the lifespan. Her primary research areas include human-robot interaction, large language models (LLMs) for elder care, and educational robotics for social-emotional learning. Hulyalkar’s most impactful contribution, “Promoting Cognitive Health in Elder Care with Large Language Model-Powered Socially Assistive Robots” (2025, 13 citations), demonstrates how LLM-driven robots can provide in-residence monitoring and early detection of cognitive decline—a critical innovation for aging populations. This work positions her at the forefront of accessible, non-invasive cognitive assessment technologies. Additionally, her exploration of peer mediation robots for elementary students (2 citations) showcases her commitment to using SARs for conflict resolution training, offering scalable solutions for schools lacking formal programs. Hulyalkar’s research uniquely bridges clinical gerontology and child development, highlighting the versatility of socially assistive robots. Her notable achievement lies in proving that LLM-powered robots can serve as both cognitive health allies for the elderly and social skill mentors for children, making her a rising leader in human-centered AI.
Research Focus
Key Achievements
Top Papers
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