Zhengguang Qi
Papers
2
Total Citations
6
H-Index
2
About
Zhengguang Qi is a researcher specializing in mobile robotics, sensor fusion, and autonomous navigation systems. His work addresses critical challenges in indoor robotic perception and path planning, particularly the limitations of single-sensor mapping accuracy and navigation efficiency. Qi’s most cited paper, “Research on mapping method based on data fusion of lidar and depth camera” (2021, 4 citations), proposes a novel multi-sensor fusion approach integrating single-line lidar, a depth camera, and an IMU to enhance mapping precision and expand scanning range in constrained indoor environments. This contribution directly tackles the problem of insufficient environmental awareness in mobile robots. In his subsequent work, “Navigation Fusion Algorithm Based on Improved A* Algorithm and Dynamic Window Approach” (2021, 2 citations), Qi advances global path planning by optimizing the A* algorithm with fifth-order Bessel curves and merging it with the Dynamic Window Approach, improving both navigation efficiency and safety. Though early in his career, Qi’s focus on practical, integrated solutions for real-world robotic systems demonstrates significant potential. His research is particularly relevant for students and engineers developing autonomous mobile robots for indoor applications, offering a foundation for more robust and adaptive navigation technologies.
Research Focus
Key Achievements
Top Papers
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- 2