ZhanTong Yan

Papers

Total Citations

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About

ZhanTong Yan is a researcher specializing in robotic path planning and digital camouflage manufacturing, with a focus on optimizing industrial automation processes. Their most cited work, "A Robot Spraying Path Planning Method for the Digital Camouflage Pattern" (2020), addresses a critical inefficiency in defense and manufacturing industries: the reliance on manual spraying experience and regular path strategies that generate redundant trajectories. Yan’s contribution lies in developing a novel path planning algorithm that reduces unnecessary movement, thereby improving spraying efficiency and precision for complex camouflage patterns. Although early in their citation impact (4 citations), this work represents a foundational step toward intelligent, adaptive robotic systems in specialized coating applications. Yan’s research bridges robotics, pattern design, and manufacturing optimization, offering practical solutions for industries requiring high-accuracy, non-repetitive surface coverage. Their work is particularly relevant for researchers in automation, defense technology, and computational geometry, highlighting the potential for AI-driven path planning to replace heuristic methods in niche industrial tasks.