Max Robotics — Global Service Robot Directory + US Certification

About

Yinglin Ke is a leading researcher in intelligent manufacturing and robotic automation, with a primary focus on advanced composite fabrication and precision robotic systems. His work centers on automated fiber placement (AFP), robot calibration, and sensorless force estimation—critical technologies for high-performance aerospace and industrial applications. Ke’s major contributions include developing a novel hand-eye semi-automatic calibration process for laser profilometers using machine learning, which dramatically improves calibration efficiency and accuracy for robotic systems. He has also pioneered methods for end-effector contact force estimation in AFP processes, enabling precise lay-up pressure control despite dynamic load variations. His recent work on multi-source lay-up error analysis and hydraulic equilibrium dynamics for heavy-duty industrial robots further advances the reliability and precision of automated manufacturing. With over 30 citations across his most impactful papers—including 16 for his 2023 calibration study—Ke’s research is shaping the next generation of intelligent, adaptive robotic systems. His achievements are particularly notable for bridging machine learning with traditional robotic calibration, offering practical solutions that reduce downtime and enhance production quality in composite manufacturing.