Xiaosu Xu

About

Xiaosu Xu is a leading researcher in robotics and intelligent control systems, with a primary focus on the reliability and autonomy of mobile and industrial robots. Their work bridges critical gaps in fault diagnosis, robust localization, and environmental perception. A major contribution is the development of a grey prediction theory-based strategy for diagnosing open circuit faults in Permanent Magnet Synchronous Motor (PMSM) drive systems, a key technology for industrial robot joints, which has garnered 22 citations. Xu has also advanced mobile robot autonomy through a robust visual-inertial SLAM method designed for complex indoor environments with weak textures (16 citations), and an extensible positioning system that fuses stereo cameras, IMU, and UWB for operation in unfamiliar settings (13 citations). Further notable work includes a multi-scale sliding window method for landmark generation in visual place recognition, enhancing robotic navigation. With a career spanning foundational fault-tolerant control for highly reliable PMSM systems to cutting-edge SLAM, Xu’s research is essential for creating safer, more capable robots in both industrial and service applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Open circuit fault diagnosis strategy of PMSM drive system based on grey prediction theory for industrial robot

   22 citations · 2022
2. 2
   A Robust Visual–Inertial SLAM in Complex Indoor Environments

   16 citations · 2023
3. 3
   An Extensible Positioning System for Locating Mobile Robots in Unfamiliar Environments

   13 citations · 2019
4. 4
   Landmark Generation in Visual Place Recognition Using Multi-Scale Sliding Window for Robotics

   9 citations · 2019
5. 5
   Fault-tolerant control of the highly reliable PMSM system for industrial robots under winding open-circuit faults

   1 citations · 2024

Key Collaborators

Contact & Links