Song-Qing Ou
Papers
1
Total Citations
44
H-Index
1
About
Song-Qing Ou is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and intelligent control systems for mobile robots. His most-cited paper, "Navigation Control Design of a Mobile Robot by Integrating Obstacle Avoidance and LiDAR SLAM" (2018), has garnered 44 citations and represents a significant contribution to the field of service robotics. In this work, Ou developed a novel navigation control system that seamlessly integrates laser-based SLAM localization with real-time obstacle avoidance, enabling mobile robots to provide reliable personnel guidance in everyday environments. By implementing the system within a Robot Operating System (ROS) architecture and leveraging Cartographer SLAM, he demonstrated a practical, scalable solution for autonomous indoor navigation. Ou’s research bridges the gap between theoretical SLAM algorithms and real-world robotic applications, emphasizing robust localization and safe, adaptive movement in dynamic spaces. His contributions are particularly relevant for developing assistive robots in healthcare, hospitality, and domestic settings. With a focus on sensor fusion and control integration, Ou continues to advance the capabilities of autonomous mobile robots, making them more reliable and accessible for daily-life services.
Research Focus
Key Achievements
Top Papers
- 1