Max Robotics — Global Service Robot Directory + US Certification

About

Henan Song’s research lies at the intersection of precision robotics, smart materials, and intelligent manufacturing, with a focus on solving real-world challenges in high-speed handling and micro-positioning. A key contribution is the development of a dynamic hysteresis model for structure-integrated piezoelectric sensor-actuators, enabling nonlinear control systems that achieve the sub-micron accuracy essential for medical robots and micro grippers. Song also pioneered a high-speed handling robot with a bionic end-effector for large glass substrates in clean environments, addressing the FPD industry’s demand for larger, thinner panels. To mitigate low-frequency vibrations in industrial robots, Song designed a linear-quadratic-Gaussian (LQG) controller based on discrete state-space models, effectively suppressing end-effector oscillations. More recently, Song introduced a macro–micro feature-driven digital twin framework for aero-engine rotor assembly, enhancing precision under weak correlation conditions. With over 30 citations across these works, Song’s contributions are shaping next-generation automation—from cleanroom glass handling to aerospace assembly—demonstrating a rare ability to bridge theoretical modeling with practical, high-stakes applications.