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About

Huadong Zheng is a researcher whose work sits at the productive intersection of robotics, automation, and advanced manufacturing. His scholarship has made meaningful contributions to laser cladding technology and intelligent robotic systems, with a particular focus on optimizing automated processes through computational and vision-based methods. Zheng's most influential contribution is his 2017 work on CAD-based automatic path generation and optimization for laser cladding robots in additive manufacturing, which has garnered 51 citations and established him as a notable voice in robotic additive manufacturing. This research addressed a critical challenge in the field: automating and refining the complex trajectories that robots must execute during laser cladding operations. His continued exploration of this theme in a 2019 paper on robot path optimization for laser cladding forming demonstrates a sustained commitment to solving real-world precision manufacturing problems. Beyond manufacturing, Zheng has also ventured into agricultural automation, applying machine vision and global optimization algorithms to porcine processing robotics — a cross-disciplinary contribution that earned 20 citations and highlights the broad applicability of his methodological expertise. Collectively, his work reflects a researcher dedicated to bridging intelligent algorithms with practical robotic applications across diverse industrial domains.