Manisha Natarajan
Papers
11
Total Citations
358
H-Index
6
About
Manisha Natarajan is a prominent researcher in human-robot interaction (HRI) and human-robot teaming, whose work sits at the intersection of cognitive science, robotics, and AI-driven collaboration. Her research explores how humans build trust with robotic systems, how teams of humans and robots can coordinate effectively, and how robots can adapt to the dynamic, imperfect realities of real-world environments. Natarajan's most influential contribution, "Effects of Anthropomorphism and Accountability on Trust in Human Robot Interaction" (2020), has garnered over 213 citations, establishing her as a leading voice on how robot attributes shape human reliance and decision-making. She has further advanced the field through rigorous methodological critique, advocating for stronger statistical practices in HRI research, and by tackling grand challenges in human-robot teaming. Her work on learning from demonstration, mixed-initiative teaming under suboptimality, and Bayesian adaptation highlights her commitment to making robots genuinely useful partners rather than idealized lab constructs. More recently, she has explored robot teleoperation performance under stress and AI-driven motion planning, reflecting an expanding research portfolio. With nearly 350 total citations across a decade of work, Natarajan's scholarship meaningfully shapes how researchers and practitioners think about safe, adaptive, and trustworthy human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 3Human-Robot Teaming: Grand Challenges37 citations · 2023
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- 6Impacts of Robot Learning on User Attitude and Behavior11 citations · 2023
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- 10Trust and Dependence on Robotic Decision Support2 citations · 2024