Max Robotics — Global Service Robot Directory + US Certification

About

Fengjie Tian is a leading researcher in robotic automatic machining, with a primary focus on precision polishing and surface finishing for complex curved geometries. Her pioneering work addresses the critical challenges of automated material removal on freeform surfaces, particularly in aerospace and manufacturing applications. Tian’s most influential contributions include developing advanced modeling and control strategies for robotic polishing, as demonstrated in her highly cited 2016 papers on curved surface polishing pressure investigations (112 citations) and comprehensive modeling and control approaches (148 citations). These works established foundational methodologies for achieving consistent surface quality through precise pressure regulation and trajectory planning. Her research extends to complex industrial components, including innovative solutions for automatic machining of welding grooves in integral impellers and blade tip rounding using elastic grinding techniques. With over 270 total citations, Tian’s work bridges theoretical modeling with practical robotic implementations, significantly advancing automated surface finishing technologies. Her recent 2024 study on elastic grinding for blade tips continues this trajectory, exploring adaptive compliance methods for delicate edge finishing operations.