Nisha Raghunath
Papers
7
Total Citations
204
H-Index
5
About
Nisha Raghunath is a leading researcher at the intersection of human-robot interaction, assistive technology, and smart environments. Her work focuses on developing cyber-physical systems that support daily living, particularly for individuals with memory impairments. Raghunath’s most significant contribution is the Robot Activity Support (RAS) system, a pioneering platform that integrates smart home sensors, software agents, and robotic assistance to help people complete activities of daily living autonomously. Her foundational paper on this system has garnered 110 citations, underscoring its influence in assistive robotics. She has also explored the social dimensions of robotics, investigating how robot gender and embodiment affect human perception in contexts like comedy and physical form—work that challenges assumptions about bias and design. Her comparative study on telepresence robots in university classrooms (52 citations) highlights her commitment to accessible, real-world applications. Raghunath’s research not only advances technical solutions for aging populations but also critically examines the social and perceptual factors that shape human-robot interaction, making her a key voice in designing robots that are both functional and socially aware.
Research Focus
Key Achievements
Top Papers
- 1Robot-enabled support of daily activities in smart home environments110 citations · 2018
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- 3Cyber-physical Support of Daily Activities19 citations · 2019
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