Mouli Sivapurapu
Papers
1
Total Citations
4
H-Index
1
About
Mouli Sivapurapu is a researcher at the forefront of human-robot interaction, specializing in the design of expressive, non-anthropomorphic robotic movement. Their key research areas include nonverbal robot communication, functional and expressive motion design, and the psychological impact of robotic gestures on human perception. Sivapurapu’s major contribution is the ELEGNT framework, which systematically integrates expressive qualities—such as intention, emotion, and attitude—into the movement of robots that do not mimic human form. This work challenges traditional functional-only approaches, demonstrating that even abstract robots can convey rich internal states through posture, gaze, and gesture. Their most-cited paper, "ELEGNT: Expressive and Functional Movement Design for Non-anthropomorphic Robot" (2025, 4 citations), has quickly gained attention for bridging engineering and psychology, offering a practical toolkit for designers and roboticists. By showing that movement itself can be a powerful communication channel, Sivapurapu is shaping a future where robots interact more naturally and intuitively with people, making their research essential for students and professionals in social robotics and human-centered AI.
Research Focus
Key Achievements
Top Papers
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