Eshan Tarneja
Papers
1
Total Citations
3
H-Index
1
About
Eshan Tarneja is an emerging researcher working at the intersection of robotics, human-robot interaction, and assistive technology. His most notable work focuses on developing computational frameworks that enable socially assistive robots to make informed, context-sensitive decisions when providing support to humans — a challenge that has long hindered practical deployment of such systems. In his 2019 paper, "Developing Computational Models of Social Assistance to Guide Socially Assistive Robots," Tarneja addresses a critical theoretical gap in the field by proposing paired computational models designed to guide robotic behavior during social assistance tasks. This contribution is particularly significant because it moves beyond purely mechanical or task-oriented robotics, embedding a layer of social intelligence into autonomous systems. With 3 citations, the work is still gaining traction within the research community, reflecting its status as a foundational piece in what remains a relatively nascent area. Tarneja's research holds meaningful implications for healthcare, eldercare, and education, where socially aware robots could meaningfully improve quality of life. His focus on theory-driven design represents a thoughtful approach to advancing responsible and effective human-robot collaboration.
Research Focus
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Top Papers
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