Shreyus Bagga

Papers

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About

Shreyus Bagga is a researcher at the intersection of robotics, human-computer interaction, and music education. His most prominent work, "instruMentor: An Interactive Robot for Musical Instrument Tutoring," introduces a novel robotic system designed to provide real-time, adaptive feedback to learners of musical instruments. This contribution addresses a critical gap in automated tutoring by combining physical embodiment with pedagogical algorithms, offering a tangible, engaging alternative to screen-based instruction. With 7 citations, this paper has laid foundational groundwork for socially assistive robotics in creative domains. Bagga’s research demonstrates how robots can serve not just as tools, but as interactive mentors that enhance skill acquisition through demonstration, correction, and encouragement. His work is particularly notable for its interdisciplinary approach, merging engineering, cognitive science, and music pedagogy. By focusing on the practical application of robotics in education, Bagga has opened new pathways for personalized, interactive learning experiences. For students and researchers interested in the future of educational technology, his contributions highlight the potential of embodied AI to transform how we teach and learn complex, sensorimotor skills.