Xiaoping Liao
Papers
1
Total Citations
9
H-Index
1
About
Xiaoping Liao is a distinguished researcher in robotics and intelligent manufacturing, with a primary focus on trajectory optimization and motion planning for industrial robots. Their most-cited work, "Time-optimal trajectory planning for a 6R jointed welding robot using adaptive genetic algorithms" (2010, 9 citations), introduces a novel approach to minimizing working time while ensuring smooth, jerk-limited motion for six-revolute-joint welding robots. By encoding time intervals between Cartesian-space welding points in binary and applying an adaptive genetic algorithm, Liao achieved significant improvements in operational efficiency without compromising trajectory smoothness. This contribution is particularly valuable for high-precision applications in automated welding, where both speed and accuracy are critical. Liao’s work bridges the gap between classical robotics kinematics and modern evolutionary optimization, offering a practical framework for real-time industrial deployment. Their research continues to influence the development of intelligent robotic systems, with potential extensions to multi-robot coordination and adaptive control in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1