Xu Dongliang

Papers

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About

Xu Dongliang is a researcher whose work sits at the intersection of mobile robotics, simultaneous localization and mapping (SLAM), and autonomous navigation. His most-cited paper, “SLAM Algorithm Analysis of Mobile Robot Based on Lidar” (2019, 80 citations), provides a rigorous experimental evaluation of SLAM algorithms in indoor environments using the Robot Operating System (ROS). By constructing a simulated urban search and rescue (USAR) environment in Gazebo, Xu demonstrated how lidar-based SLAM can be reliably deployed for real-world rescue scenarios—a critical step toward making autonomous robots effective in disaster response. His contributions help bridge the gap between theoretical SLAM research and practical, deployable systems, particularly in constrained or hazardous settings. With a focused body of work that emphasizes hands-on experimentation and open-source tools, Xu’s research offers valuable insights for engineers and roboticists working on perception and mapping for mobile platforms. His findings continue to inform the development of more resilient, real-time navigation systems for robots operating in unpredictable environments.