Menon Deepansh

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About

Deepansh Menon is a researcher whose early work focused on human-robot interaction and gesture-based control systems. His key research areas include robotic manipulation, computer vision, and embedded systems, with a particular emphasis on making robotic control more intuitive through natural user interfaces. Menon’s major contributions center on the development of Kinect-based gesture-controlled robotic arms, where he demonstrated how consumer-grade depth sensors could be repurposed for precise robotic manipulation. His most cited work, "Kinect based gesture controlled Robotic arm: A research work at HuT Labs" (2013, 23 citations), is notable not only for its technical innovation but also for its emphasis on undergraduate research as a formative experience—a perspective that has inspired many young researchers. A follow-up study, "Implementation of Gesture Control in Robotic Arm Using Kinect Module" (2015, 8 citations), refined the skeletal tracking approach using the Kinect SDK to achieve more accurate arm motion mimicry. While his citation counts reflect the early-stage nature of his work, Menon’s research is significant for pioneering accessible, low-cost approaches to robotic control that lowered the barrier to entry for gesture-based human-robot interaction.