Tenzin Rabgyal

Papers

Total Citations

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About

Tenzin Rabgyal is a robotics researcher whose work focuses on the intersection of computer vision, control systems, and mechanical design. His primary research areas include camera calibration for industrial automation and the development of dynamically stable robotic platforms. In his 2022 paper on camera calibration for industrial robots, Rabgyal presented a practical algorithm using MATLAB and 2D checkerboard patterns to enhance vision-guided automation—a foundational contribution to manufacturing robotics. His most notable work, however, is the 2023 study on a unicycle balancing robot, where he tackled the extreme challenge of stabilizing a robot on a single point of contact using a linear slider mechanism. This research addresses highly nonlinear dynamics and has been cited for its innovative approach to balance control. While his citation counts are currently modest (2 citations each), these early-career publications demonstrate significant technical ambition and practical engineering insight. Rabgyal’s work is particularly relevant for students and researchers interested in real-world robotics challenges, from sensor calibration to complex stability control, and his projects showcase the hands-on, problem-solving approach essential for advancing autonomous systems.