Yaozhun Huang

City University of Hong Kong, Nankai University

Papers

Total Citations

H-Index

About

Yaozhun Huang is a researcher at the intersection of computational photography, robotics, and visual media, whose work redefines how light and motion can be used as artistic and analytical tools. His primary contributions lie in computational light painting and kinetic photography, where he pioneered techniques that replace handheld light sources with precisely controlled robotic systems. In his most-cited paper, "Computational light painting and kinetic photography" (2018, 8 citations), Huang introduced a framework that moves a flat-panel display along curved paths using a robot, enabling the creation of swept-volume light paintings with unprecedented complexity and precision. This work builds on his earlier research in "Computational swept volume light painting via robotic non-linear motion" (2016, 4 citations), which explored non-linear robotic trajectories for artistic light effects. Beyond aesthetics, Huang also addresses practical robotics challenges, as seen in his paper "Vision-based minimum-time planning of mobile robots with kinematic and visibility constraints" (2014, 7 citations), which optimizes robot motion under real-world constraints. Though his citation counts are modest, Huang’s work stands out for its creative fusion of robotics and photography, offering a novel paradigm for visual expression and automated imaging. His research is particularly inspiring for students interested in the convergence of art, computation, and mechanical systems.