Max Robotics — Global Service Robot Directory + US Certification

About

Weixiang Xiong is a leading researcher in the field of human motion analysis, with a primary focus on **gait recognition and prediction** for **exoskeleton robot control**. His work is distinguished by the innovative integration of **deep graph convolutional networks** with **multi-IMU (Inertial Measurement Unit) systems**, addressing the critical challenge of achieving precise, real-time control for assistive robotic devices. Xiong’s major contributions include the development of a **spatial and temporal attention-embedded spatial temporal graph convolutional network (STA-STGCN)** for skeleton-based gait recognition, which uniquely models the interconnections of human spatial structure and joint dynamics. He has also pioneered the use of **MiniRocket** for robust, fine-grained gait recognition and introduced **auto-correlation and channel attention mechanisms** to enhance deep graph convolution networks for accurate gait phase prediction. His most cited works, including the 2024 STA-STGCN paper (6 citations), demonstrate the growing impact of his research. By enabling exoskeletons to differentiate between gait phases and provide precisely timed assistance, Xiong’s work is directly advancing the practical deployment of intelligent, responsive wearable robotics.