Fangzheng Xue
Papers
9
Total Citations
29
H-Index
3
About
Fangzheng Xue is a robotics researcher whose work spans spiking neural networks, mobile robot control, and autonomous navigation. His most influential contribution is the FPGA implementation of a self-organized spiking neural network controller for mobile robots (2014, 6 citations), which demonstrated how biologically-inspired computational models can be efficiently deployed for real-time robot control. Xue has made significant advances in sensor fusion and state estimation, including temporal delay estimation for sparse direct visual-inertial odometry (2020, 6 citations) and a loosely-coupled IMU-SLAM fusion model for 3D mapping on embedded devices (2021, 2 citations). His research also addresses practical challenges in trajectory tracking, developing fuzzy adaptive algorithms for biped robot inverse kinematics (2010, 5 citations) and fuzzy logic controllers for differential steering robots under time constraints (2021, 3 citations). Xue’s early work on centralized soccer robot systems (2005, 2 citations) and control structures for multi-robot coordination (2006, 2 citations) laid groundwork for his later contributions. His most recent work introduces adaptive sliding-mode disturbance observers for mobile wheeled robots (2023), continuing his focus on robust control under uncertainty. With a career spanning two decades, Xue’s research bridges theoretical neural computation with practical embedded systems for autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Fuzzy Adaptive Algorithm for Biped Robot Inverse Kinematics5 citations · 2010
- 4
- 53D Mapping Based IMU Loosely Coupled Model For Autonomous Robot2 citations · 2021
- 6Open Humanoid Robot Simulator Based on ODE2 citations · 2011
- 7
- 8On Control Structure of Robotsoccer System2 citations · 2006
- 9