Papers
18
Total Citations
227
H-Index
8
About
Xiaoqing Guan is a robotics researcher whose work centers on the motion planning, control, and autonomy of spherical mobile robots — a uniquely challenging class of nonlinear, nonholonomic systems. With a body of work accumulating nearly 200 citations, Guan has made substantive contributions to some of the most demanding problems in mobile robotics, including path planning, trajectory tracking, and multi-terrain velocity control. Among Guan's most recognized contributions is a modified Hybrid A* path planning algorithm tailored to pendulum-driven spherical robots, which elegantly addresses the constraints imposed by nonzero minimal turning radii. Equally impactful is the development of a Hierarchical Terminal Sliding Mode Controller combined with Model Predictive Control for robust direction and trajectory tracking, garnering 37 citations since 2022. Guan has also tackled the real-world challenge of terrain variability, proposing adaptive control frameworks that dynamically estimate uncertainties in robot dynamics — a critical step toward deployable field robots. Earlier work on industrial robot trajectory planning (2011) demonstrates a long-standing commitment to precision motion control. Across this research portfolio, Guan consistently bridges theoretical rigor with experimental validation, making their contributions especially valuable to engineers and students working at the intersection of control theory and autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Fuzzy PID Controller Based on Yaw Angle Prediction of a Spherical Robot24 citations · 2021
- 5A Robust Reference Path Selection Method for Path Planning Algorithm18 citations · 2022
- 6Trajectory planning theory and method of industrial robot16 citations · 2011
- 7
- 8
- 9
- 10