Ling Zhou

Papers

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About

Ling Zhou is a robotics researcher whose work focuses on the foundational challenges of autonomous navigation and simultaneous localization and mapping (SLAM) for mobile robots. Their most-cited study, "SLAM algorithm and Navigation for Indoor Mobile Robot Based on ROS" (2022, 12 citations), provides a critical comparative analysis of two widely-used SLAM algorithms—Gmapping and Cartographer—evaluating their performance in terms of mapping accuracy and external contour reconstruction. This work directly addresses the practical problem of enabling robots to build reliable maps of unknown indoor environments while tracking their own position, a core requirement for autonomous systems. By systematically benchmarking these algorithms within the Robot Operating System (ROS) framework, Zhou has offered valuable guidance for researchers and engineers selecting SLAM solutions for real-world deployment. Their contributions help bridge the gap between theoretical algorithm development and practical robotic navigation, supporting advancements in service robots, warehouse automation, and assistive technologies. With a clear focus on improving robot autonomy through robust perception and path planning, Ling Zhou’s research continues to inform the design of more capable and reliable mobile robotic systems.