Xiusong Yang

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About

Xiusong Yang has made foundational contributions to the field of mobile robotics, with a particular focus on vision-based navigation and autonomous control systems. His most-cited work, "Vision based trajectory tracking controller for a B21R mobile robot" (2006), presents an innovative monocular vision algorithm coupled with sonar-based obstacle avoidance, enabling wheeled mobile robots to track trajectories in real-time while safely navigating dynamic environments. This integrated control procedure—combining visual trajectory localization, tracking control, and reactive obstacle avoidance—demonstrates Yang's expertise in sensor fusion and real-time robotic systems. With 4 citations, this paper has influenced subsequent research in autonomous navigation for service and industrial robots. Yang's work addresses critical challenges in merging computer vision with traditional control theory, offering practical solutions for robots operating in unstructured settings. His research continues to inspire advances in intelligent transportation and autonomous ground vehicles, where robust perception and control remain essential for real-world deployment.