Anqi Guo

Papers

Total Citations

H-Index

About

Anqi Guo is a researcher in mobile robotics and autonomous navigation, with a focus on developing efficient path planning algorithms. Their most notable contribution is the introduction of the Super Jump Point Search (S-JPS) algorithm, an optimal global path planning method for wheeled mobile robots. This work refines traditional jump point search techniques by proposing rigorous jumping rules and the novel concept of super jump points, significantly enhancing computational efficiency in complex environments. While their key paper has garnered early citations, Guo's work addresses a critical challenge in robotics—balancing optimality with real-time performance—and has the potential to influence applications in warehouse logistics, autonomous vehicles, and service robotics. By advancing the theoretical foundations of path planning, Anqi Guo contributes to making mobile robot navigation faster and more reliable, a vital step toward practical deployment in dynamic, real-world settings.