Wen-Hung Huang
Papers
1
Total Citations
3
H-Index
1
About
Wen-Hung Huang is a robotics researcher whose work centers on autonomous mobile robot systems, with a particular focus on map generation, path navigation, and the integration of the Robot Operating System (ROS) platform. His most-cited paper, "Highly Autonomous Visualization Map-Generation Mobile Robot System Design Through the Robot Operating System Platform" (2018, 3 citations), introduces a novel approach that enables a mobile robot to concurrently generate visualized maps and navigate paths in unknown environments. This work demonstrates how combining autonomous visualization with ROS-based control can achieve robust, real-time performance without prior environmental knowledge. Huang’s contributions are significant for advancing the practicality of autonomous robots in unstructured settings, such as search-and-rescue or industrial inspection. While his citation count is modest, his research lays foundational groundwork for scalable, ROS-integrated robotic systems. His achievements highlight the potential of merging simulation and real-world deployment, offering a clear pathway for students and researchers interested in building highly autonomous, map-generating mobile robots.
Research Focus
Key Achievements
Top Papers
- 1