Zijun Xu

Papers

Total Citations

H-Index

About

Zijun Xu is a leading researcher in robotics and autonomous systems, with a primary focus on active scene reconstruction and real-time 3D perception for intelligent navigation. Their most notable contribution is the development of **HGS-Planner**, a hierarchical planning framework that leverages 3D Gaussian Splatting to enable robots to actively reconstruct unknown environments with high fidelity and speed. This work addresses a critical challenge in complex missions like search and rescue, where situational awareness depends on a robot’s ability to intelligently explore and map its surroundings. By integrating planning and perception, Xu’s approach allows robots to make informed decisions in real time, significantly improving the quality and efficiency of environmental reconstruction. Though early in its impact, the HGS-Planner paper has already garnered 5 citations, signaling strong interest from the robotics community. Xu’s research bridges the gap between autonomous exploration and high-quality 3D modeling, offering a practical pathway for deploying intelligent robots in unstructured, dynamic settings. Their work is poised to influence future developments in active perception, autonomous navigation, and field robotics.