Akshith Ullal

Vanderbilt University

Papers

3

Total Citations

62

H-Index

3

About

Akshith Ullal is a leading researcher in socially assistive robotics, with a focus on enhancing the quality of life for older adults and supporting individuals with neurodevelopmental conditions. His work centers on developing intelligent robotic systems that promote physical, cognitive, and social well-being through multidomain activities. Ullal’s most impactful contribution is the SAR-Connect system, a socially assistive robot designed to combat social isolation and inactivity among older adults. This work, published in 2021, has garnered 35 citations, highlighting its influence on the field of human-robot interaction. He further advanced this area with the Ro-Tri system, a robot-mediated triadic interaction platform tested in real-world settings, which has accumulated 24 citations. Ullal’s research also extends to designing immersive, intelligent systems that facilitate social interaction between caregivers and young children with autism, demonstrating his versatility in addressing diverse populations. His notable achievements include field-testing these robotic interventions, bridging the gap between laboratory prototypes and practical, real-world applications. Through his innovative designs, Ullal is shaping the future of assistive technology, making meaningful strides in improving social engagement and overall well-being for vulnerable populations.

Research Focus

Key Achievements

3
H-Index
3
Papers
62
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
SAR-Connect: A Socially Assistive Robotic System to Support Activity and Social Engagement of Older Adults
35 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Vanderbilt University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago