Zhe-Ming Tong
Papers
1
Total Citations
11
H-Index
1
About
Zhe-Ming Tong is a researcher specializing in robotic path planning and autonomous navigation, with a particular focus on developing efficient, real-time algorithms for known environments. His most notable contribution is the Improved Artificial Potential Field-based Simultaneous Forward Search (Improved APF-based SIFORS) method, which enhances traditional potential field approaches by redefining potential functions and integrating a simultaneous forward search strategy to generate smoother, collision-free paths. This work, published in 2015, has accumulated 11 citations and represents a significant step in path relaxation techniques, offering a practical solution for mobile robot trajectory optimization. Tong's research addresses fundamental challenges in robotics, balancing computational efficiency with path quality, and his method has implications for applications ranging from warehouse automation to autonomous vehicles. His work continues to influence the development of more adaptive and robust path planning systems, demonstrating a commitment to advancing the field of intelligent robotics through algorithmic innovation.
Research Focus
Key Achievements
Top Papers
- 1