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About

Tingyang Chen is a distinguished researcher specializing in robotic manufacturing, trajectory planning, and advanced coating technologies, with a particular focus on aero-engine component processing. His work sits at the intersection of industrial robotics, computer vision, and thermal spray engineering, addressing critical challenges in precision manufacturing for aerospace applications. Chen's most significant contributions center on developing intelligent robotic systems for polishing and grinding thermal barrier coatings (TBCs) on aero-engine turbine blades — components where surface quality directly impacts thermal efficiency and service life. His widely cited 2022 paper on robotic polishing trajectory planning using point cloud data (17 citations) exemplifies his ability to translate complex geometric data into actionable manufacturing solutions. Complementing this, his vision-based calibration methods and point cloud registration algorithms have substantially advanced the accuracy and automation of robotic grinding systems, collectively accumulating nearly 30 citations. Beyond aerospace manufacturing, Chen has demonstrated impressive versatility through contributions to machine learning-based garbage detection and robotic grasping (12 citations), arc welding guidance, and cold spray trajectory optimization. His trajectory planning research spans nearly a decade, from early ant colony algorithm approaches in 2016 to sophisticated geodesic-based methods. With over 80 cumulative citations across diverse robotics and materials processing domains, Chen represents a vital bridge between intelligent automation and advanced manufacturing engineering.