Hongwei Wu
Papers
3
Total Citations
28
H-Index
2
About
Hongwei Wu is a leading researcher in the field of autonomous mobile robotics, with a primary focus on Simultaneous Localization and Mapping (SLAM), multi-sensor fusion, and intelligent path planning. His most impactful work, a multi-sensor fusion framework for tight coupling in precise positioning, has garnered 18 citations and addresses critical limitations of single-sensor SLAM in complex environments, offering a robust solution for real-time optimization. Wu has also advanced the practical deployment of robotic systems through simulation research on ROS-based SLAM mapping and autonomous navigation, enabling safer and more efficient real-world testing. His innovative approach to correcting laser SLAM motion distortion—using piecewise linear interpolation to improve point cloud matching and reduce pose errors—further demonstrates his commitment to solving fundamental sensor accuracy challenges. Collectively, Wu’s contributions are shaping the next generation of intelligent, self-localizing robots, making his work essential reading for students and engineers advancing autonomous navigation technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Mapping and Path Planning Simulation of Mobile Robot Slam Based on Ros8 citations · 2022
- 3Research on motion distortion optimization algorithm of laser SLAM2 citations · 2022