Priyank Garg

Papers

Total Citations

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About

Priyank Garg is a researcher in the field of robotics and human-machine interaction, with a focus on intuitive control systems. His most-cited work, "Gesture Controlled Robot with Robotic Arm" (2022), introduces a novel approach to replacing traditional buttons and joysticks with hand-gesture-based commands for robotic automation. This contribution addresses a growing demand for more natural and accessible interfaces in industrial and domestic settings, where robotic arms are increasingly deployed. With 5 citations, this paper has laid foundational groundwork for gesture-based control systems, demonstrating how hand movements can directly command complex robotic actions. Garg’s research sits at the intersection of automation, sensor technology, and user-centered design, aiming to make robotic systems more responsive and user-friendly. His work is particularly relevant for students and researchers exploring non-contact control methods, offering a practical pathway toward reducing reliance on physical interfaces. By advancing gesture-controlled robotics, Garg contributes to a future where human-robot collaboration is seamless and intuitive, with potential applications ranging from manufacturing to assistive technologies.