Papers
2
Total Citations
14
H-Index
2
About
Anshul Rani is a researcher at the intersection of human-robot interaction and educational technology, with a primary focus on integrating social robots into real-world learning environments. Her work critically examines both the technical and pedagogical dimensions of robot inclusion, bridging the gap between engineering and classroom practice. In her highly cited 2023 study, "A Comparative Analysis of Real Time Open-Source Speech Recognition Tools for Social Robots," Rani provides a systematic evaluation of accessible speech technologies, offering essential guidance for developers aiming to deploy responsive, voice-enabled robots in dynamic social settings. Complementing this technical contribution, her case study "Teachers’ Perspective on Robots Inclusion in Education – A Case Study in Norway" captures the nuanced attitudes of educators, highlighting practical barriers and opportunities for robot-assisted learning. Together, these works—garnering over a dozen citations in just two years—demonstrate Rani’s ability to produce actionable, interdisciplinary insights. Her research is particularly valuable for students and engineers seeking to design socially aware robots that are both technically robust and pedagogically sound, making her a rising voice in the field of socially assistive robotics.
Research Focus
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Top Papers
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