Zhu Guijie
Papers
2
Total Citations
17
H-Index
2
About
Zhu Guijie is a leading researcher in the field of autonomous robotics, with a primary focus on Simultaneous Localization and Mapping (SLAM) and 3D environmental perception. His work is distinguished by its innovative integration of multi-sensor fusion to solve complex mapping challenges. Zhu’s most impactful contribution is the development of a novel SLAM framework that simultaneously constructs both 2D grid maps and 3D OctoMaps using Rao-Blackwellized particle filters. This approach, detailed in his 2018 paper (9 citations), elegantly combines wheeled odometry and laser scan data to achieve precise robot pose estimation. He further advanced the field with his 2017 study (8 citations) on 3D mapping of multi-floor buildings, where he pioneered the fusion of laser range sensors, barometric pressure sensors, and Kinect depth data. This work enables robots to detect floor transitions and generate accurate volumetric maps of complex indoor environments. With a total of 17 citations across his key works, Zhu’s research provides foundational techniques for autonomous navigation in challenging, multi-level spaces, making him a notable figure in modern robotic perception.
Research Focus
Key Achievements
Top Papers
- 1
- 23D Mapping of Multi-floor Buildings Based on Sensor Fusion8 citations · 2017