Guangzhao Cui

Papers

Total Citations

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About

Guangzhao Cui is a leading researcher in robotics and intelligent control systems, with a focus on path planning and sensor-based environment perception. His most influential work, "The path planning for mobile robot based on bat algorithm" (2015, 36 citations), introduces a novel hybrid approach combining the Dijkstra algorithm with the bat algorithm for global optimal path planning. This method, which first models the robot's workspace using MAKLINK graph theory, has become a foundational reference for researchers developing efficient navigation strategies in complex environments. Cui also made significant contributions to industrial automation through his work "Feature-to-Feature Based Laser Scan Matching for Pallet Recognition" (2010, 10 citations), where he proposed a robust method for clustering laser scan data into line segments and extracting corner points for pallet detection. This technique enhances autonomous forklifts and warehouse robots by enabling precise object recognition and localization. His research bridges theoretical optimization algorithms with practical robotics applications, demonstrating measurable impact through continued citations in mobile robotics and automation literature.