Pingan Xu
Papers
2
Total Citations
13
H-Index
2
About
Pingan Xu is a researcher focused on advancing autonomous navigation and path planning for mobile robots. His work centers on developing more efficient, robust algorithms that enable robots to navigate complex environments with greater accuracy and safety. Xu’s most-cited contribution, "Improved path planning algorithm for mobile robots" (2023), has garnered 10 citations, reflecting its relevance in the field. This study builds on his earlier 2022 paper of the same title, which laid foundational improvements in trajectory optimization and obstacle avoidance. By refining heuristic search methods and integrating real-time sensor feedback, Xu’s algorithms reduce computational overhead while enhancing path smoothness—critical for applications in warehouse logistics, service robotics, and autonomous vehicles. His research addresses key challenges in dynamic environments, offering practical solutions that bridge theory and real-world deployment. With a growing citation record, Pingan Xu is establishing himself as a promising voice in mobile robotics, contributing to the next generation of intelligent, self-navigating systems.
Research Focus
Key Achievements
Top Papers
- 1Improved path planning algorithm for mobile robots10 citations · 2023
- 2Improved path planning algorithm for mobile robots3 citations · 2022