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About

Qian Xu is a leading researcher in humanoid robotics, specializing in bipedal locomotion, balance control, and push recovery. Their major contributions include developing an improved Zero Moment Point (ZMP) trajectory design for the BHR biped robot, which mimics human walking patterns by incorporating forward-moving ZMP in the single support phase. Xu also pioneered push detection and recovery methods, using sensory data from Attitude and Heading Reference Systems to regulate center-of-mass position and foot placement for stability under external perturbations. Their work on 3D linear inverted pendulum models has enabled robust step estimation for push recovery and fall management in small humanoid robots. With over 60 citations across their top papers, Xu's research has significantly advanced teleoperation systems, as demonstrated by their 3D simulation work for the BHR-02 humanoid robot. Notable achievements include designing a 23-degree-of-freedom small humanoid robot with ZMP force sensors and extending robotics to wireless sensor networks through carrier-based sensor deployment. Xu's high-precision camera localization method for scenes with repetitive patterns further showcases their versatility, with applications in autonomous vehicles and intelligent systems.