Zequan Xu
Papers
1
Total Citations
10
H-Index
1
About
Dr. Zequan Xu is a leading researcher in robotics and autonomous systems, with a primary focus on optimal trajectory planning and motion control for manipulators. His most impactful work addresses a fundamental challenge in robotics: generating smooth, efficient, and collision-free paths for complex trajectories. In his highly cited 2023 paper, Dr. Xu proposed a novel optimization framework that integrates an improved ant colony algorithm with high-order spline interpolation, achieving a balance between computational efficiency and trajectory smoothness. This work has garnered significant attention, with over 10 citations, reflecting its practical relevance for industrial automation and robotic manipulation. Dr. Xu’s contributions are notable for their emphasis on real-world applicability, offering solutions that reduce energy consumption and mechanical wear while maintaining precision. His research continues to push the boundaries of autonomous navigation and human-robot collaboration, making him a rising figure in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1