Max Robotics — Global Service Robot Directory + US Certification

About

Xing Ming is a leading researcher in rehabilitation robotics, specializing in human-robot interaction, bionic control, and variable stiffness actuation for upper limb exoskeletons. Their work addresses the critical challenge of making robotic rehabilitation safer and more intuitive by enabling robots to interpret and respond to human motion intent. Ming’s most cited paper (48 citations) introduces a novel motion intent recognition system using altitude signal sensors and a modified adaptive Kalman filter, significantly improving human-robot interaction performance. Their bionic control method (26 citations) further advances this by allowing exoskeletons to replicate natural motion trajectories during rehabilitation training. Ming has also pioneered the use of magnetorheological fluids to create variable stiffness actuators (12 and 3 citations), which dynamically adjust joint rigidity to ensure safety and adaptability in human-robot contact. By integrating intent recognition with compliant actuation, Ming’s research lays the groundwork for next-generation rehabilitation devices that are both responsive and safe, with direct implications for clinical therapy and assistive technology. Their work is essential reading for engineers and clinicians developing intelligent, patient-centered robotic systems.