Jiejun Xu

Papers

Total Citations

H-Index

About

Jiejun Xu is a researcher specializing in autonomous robotics, with a focus on 3D perception, location recognition, and efficient navigation for mobile platforms such as UAVs and UGVs. His work addresses critical challenges in enabling robots to operate autonomously in unknown environments, particularly through accurate, drift-free trajectory estimation and online location recognition using monocular cameras. Among his notable contributions, Xu’s 2015 paper on “3D Perception for Autonomous Robot Exploration” laid foundational groundwork for spatial understanding in robotics, while his 2017 study on “Online location recognition for drift-free trajectory estimation and efficient autonomous navigation” advanced real-time localization methods that reduce cumulative errors—a key hurdle in long-duration missions. Although his citation counts (2 each) reflect a niche but growing impact, his research is directly relevant to the practical deployment of autonomous systems in GPS-denied or unstructured settings. Xu’s work bridges perception and navigation, offering scalable solutions that enhance robot autonomy, and continues to influence developments in field robotics and intelligent exploration.