Papers
2
Total Citations
11
H-Index
2
About
He Guan is a robotics researcher specializing in autonomous navigation and intelligent manufacturing, with a focus on LiDAR-inertial SLAM systems and robotic path planning. His most impactful work, "A 3D LiDAR-Inertial Tightly-Coupled SLAM for Mobile Robots on Indoor Environment" (2024, 9 citations), addresses the critical challenge of perceptual degradation in homogeneous indoor spaces like long corridors, where low-resolution 3D laser scanners struggle with sparse feature points. By developing a tightly-coupled sensor fusion framework, Guan has advanced the reliability of mobile robot localization in GPS-denied environments. His complementary research, "Review of path planning of welding robot based on spline curve" (2024, 2 citations), evaluates how spline-based algorithms can overcome inefficiencies and inaccuracies in traditional welding robot trajectories, contributing to more precise industrial automation. Guan’s work bridges theoretical sensor fusion with practical robotics applications, offering solutions to real-world constraints in both indoor navigation and manufacturing. His growing citation record reflects the relevance of his contributions to the robotics community, particularly for researchers tackling SLAM degradation in feature-poor settings and optimizing robotic manipulator paths.
Research Focus
Key Achievements
Top Papers
- 1
- 2Review of path planning of welding robot based on spline curve2 citations · 2024