Tang Yang

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About

Tang Yang is a pioneering researcher in robotic spray painting and surface coating technologies, with a particular focus on trajectory optimization for complex curved geometries. His seminal 2007 work on trajectory optimization for robotic spray painting established foundational methods for dividing complex surfaces into manageable patches and applying optimization algorithms to ensure material deposition uniformity. This research, which has garnered 5 citations, addresses critical challenges in industrial automation by mathematically modeling material deposition rate functions and developing algorithms that balance coating thickness consistency with operational efficiency. Tang's contributions are particularly significant for manufacturing industries requiring high-precision surface finishing, such as automotive and aerospace sectors. His work bridges the gap between theoretical optimization and practical robotic control, enabling more efficient and uniform coating processes on non-planar surfaces. By integrating experimental data with algorithmic optimization, Tang has advanced the state of the art in automated spray painting, reducing material waste and improving quality control. His research continues to influence subsequent developments in robotic path planning and surface treatment technologies, making him a notable figure in the field of manufacturing automation and industrial robotics.