Manohar Bhat

Papers

Total Citations

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About

Manohar Bhat is a researcher at the forefront of human-computer interaction and autonomous systems, with a particular focus on making advanced technology accessible to non-experts. His most-cited work, "Real-time gesture control UAV with a low resource framework" (2021, 8 citations), demonstrates a breakthrough in intuitive drone control. By integrating 2D computer vision and deep learning techniques, Bhat developed a system that allows users with no technical background to pilot a low-cost micro drone using simple hand gestures, all processed through an onboard RGB camera. This contribution is significant for democratizing drone technology, reducing the barrier to entry for education, emergency response, and creative applications. Bhat’s research sits at the intersection of embedded systems, real-time AI, and user-centered design, showcasing how resource-constrained hardware can still deliver sophisticated interaction. His work highlights a commitment to practical, inclusive innovation—proving that powerful technology need not be complex to operate. For students and researchers, Bhat’s approach offers a compelling model for bridging the gap between cutting-edge algorithms and real-world usability.