Papers
1
Total Citations
7
H-Index
1
About
Guoqiang Wen is a leading researcher in mobile robotics, with a primary focus on Simultaneous Localization and Mapping (SLAM) and autonomous navigation. His most-cited work, "Research on SLAM Algorithm and Navigation of Mobile Robot Based on ROS" (2021, 7 citations), addresses a foundational challenge in robotics: the interdependence between a robot's ability to localize itself and its need to build a consistent map of its environment. Wen’s research leverages the Robot Operating System (ROS) to develop practical, integrated solutions that enable intelligent, autonomous mobile robots to navigate complex, unknown spaces. By tackling this core "chicken-and-egg" problem, his work has provided a critical framework for advancing real-world robotic applications, from warehouse logistics to autonomous exploration. His contributions are essential reading for students and engineers seeking to understand the practical implementation of SLAM and navigation systems, demonstrating how robust algorithms can transform a robot from a simple machine into a truly autonomous agent.
Research Focus
Key Achievements
Top Papers
- 1Research on SLAM Algorithm and Navigation of Mobile Robot Based on ROS7 citations · 2021