Zhihong Wei

Papers

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About

Zhihong Wei is a researcher specializing in autonomous navigation and path planning for robotic systems, with a particular focus on underwater and mobile robots operating in complex environments. Their major contributions lie in developing optimization algorithms that enhance the efficiency, convergence speed, and real-time performance of path planning. Notably, Wei’s most cited work, “Path optimization of AUV based on smooth-RRT algorithm” (2017, 33 citations), introduces a novel Smooth-RRT method that incorporates convergence and angle factors to improve path quality for Autonomous Underwater Vehicles (AUVs), addressing the challenges of high real-time demands and intricate working conditions. In another influential study, “Path planning for mobile robot based on fast convergence ant colony algorithm” (2017, 13 citations), Wei tackles the classical ant colony algorithm’s limitations—slow convergence and susceptibility to local minima—by refining heuristic factors to accelerate optimization. With a combined citation impact of over 46 citations, Wei’s work demonstrates practical significance in advancing robotic autonomy, offering robust solutions for real-world applications in exploration, surveillance, and industrial automation.