Haoxiao Liang

Papers

Total Citations

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About

Dr. Haoxiao Liang is a robotics researcher whose work centers on advancing autonomous navigation systems for mobile robots operating in complex indoor environments. His most-cited paper, "ROS2-based locator optimized autonomous navigation robot" (2023, 2 citations), addresses a critical challenge in the field: improving positioning and navigation accuracy in settings where environmental activity—such as movement of people or equipment—can disrupt sensor reliability. By leveraging the Robot Operating System 2 (ROS2) framework, Dr. Liang proposes an optimized locator design that enhances real-time localization and path planning, directly supporting the growing deployment of mobile robots in warehousing, logistics, and environmental monitoring. This contribution is particularly timely as industries increasingly rely on autonomous systems for efficiency and safety. While his citation count is still building, the practical relevance of his work positions him as an emerging voice in robotics, with potential for significant impact as indoor navigation demands continue to rise. Dr. Liang’s research bridges theoretical optimization and applied robotics, offering solutions that are both technically rigorous and industry-ready.