Shanu Sharma

Papers

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About

Dr. Shanu Sharma is a researcher in Human-Computer Interaction (HCI) and computer vision, with a focus on vision-based gesture recognition for robotic control. Their most-cited work, "Real Time Hand Gesture Recognition for Robotic Control" (2018), has garnered 3 citations and addresses a critical challenge in HCI: enabling intuitive, contact-free interaction between humans and machines. By developing a vision-based approach that interprets hand gestures in real time, Sharma’s research offers a practical solution for controlling robots without physical interfaces, enhancing accessibility and efficiency in automation. This work contributes to the broader goal of creating seamless, natural interaction channels for machine vision applications, from assistive technologies to industrial robotics. Sharma’s contributions highlight the potential of gesture recognition to transform how we communicate with machines, laying groundwork for more responsive and user-friendly automated systems. Their research is particularly valuable for students and researchers exploring the intersection of computer vision, robotics, and user interface design, demonstrating how simple visual cues can power complex control systems.