Smit Kesaria

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About

Smit Kesaria is a researcher at the intersection of human-computer interaction and autonomous systems, with a primary focus on developing intuitive, low-resource interfaces for unmanned aerial vehicles (UAVs). His most cited work, "Real-time gesture control UAV with a low resource framework" (2021, 8 citations), demonstrates a significant contribution to democratizing drone technology. By integrating 2D computer vision and deep learning on a low-cost micro drone equipped with only an onboard RGB camera, Kesaria created a system that allows users with no technical background to control drones through natural hand gestures. This breakthrough addresses a critical barrier in UAV accessibility, moving beyond complex joystick or programming-based controls. His research highlights the potential of lightweight, efficient AI models to run on resource-constrained hardware, making advanced drone interaction feasible for education, hobbyists, and field applications. Kesaria’s work is notable for proving that sophisticated gesture-based interfaces can be achieved without expensive sensors or high-end computing, paving the way for more inclusive and practical human-drone collaboration.