Xiaohe Liu
Papers
1
Total Citations
2
H-Index
1
About
Xiaohe Liu is a researcher whose work centers on motion planning and optimization for robotic systems, with a particular focus on non-holonomic constraints. In their most cited paper, "Non-Holonomic Motion Planning with PSO and Spline Approximation" (2007), Liu introduced an innovative approach that combines modified particle swarm optimization (PSO) with spline-based trajectory representation. This work addresses the fundamental challenge of determining optimal control inputs for systems that cannot move in arbitrary directions—such as cars or wheeled robots—by minimizing a cost function that balances final positioning errors and control energy. While the paper has garnered 2 citations, it represents an early and thoughtful contribution to the intersection of swarm intelligence and robotic path planning. Liu’s research demonstrates a clear ability to formulate complex motion planning problems as optimization tasks, offering practical solutions for autonomous navigation. This work remains relevant for students and researchers exploring evolutionary algorithms in robotics, particularly those interested in efficient trajectory generation under physical constraints.
Research Focus
Key Achievements
Top Papers
- 1Non-Holonomic Motion Planning with PSO and Spline Approximation2 citations · 2007