Song-Qing Ou

National Yang Ming Chiao Tung University

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

1
H-Index
1
Papers
44
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Navigation Control Design of a Mobile Robot by Integrating Obstacle Avoidance and LiDAR SLAM
44 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: National Yang Ming Chiao Tung University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago