Sonal Narayankar

Papers

Total Citations

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About

Sonal Narayankar is a researcher whose early work in human-robot interaction laid the groundwork for accessible assistive technologies. Her most-cited paper, "Gesture Controlled Robot" (2014), has garnered 3 citations and explores intuitive, non-verbal control systems that allow users to operate robotic devices through simple hand gestures. This contribution sits at the intersection of robotics, computer vision, and human-computer interaction, demonstrating a focus on making technology more natural and inclusive. While her citation count is modest, the work reflects a forward-thinking approach to bridging the gap between human intent and machine response—a foundational concern in the development of user-friendly robotic interfaces. Narayankar’s research is particularly relevant for students and engineers interested in low-cost, gesture-based control systems, offering a practical entry point into the challenges of real-time motion recognition and embedded system design. Her work underscores the importance of accessible robotics in education and rehabilitation, where intuitive control can empower users with limited mobility or technical expertise.