Wenbin Sun

China Academy of Launch Vehicle Technology, Hainan University

Papers

Total Citations

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About

Wenbin Sun is a researcher specializing in intelligent robotics, autonomous navigation, and agricultural automation. His work focuses on developing advanced control and path planning systems to enhance the efficiency and autonomy of mobile robots in complex, real-world environments. A key contribution is his integration of fuzzy logic with artificial potential fields (APF) for mobile robot path planning, effectively addressing the persistent local minima problem that hampers traditional APF methods. This foundational work, published in 2019, has garnered 6 citations and demonstrates his ability to solve critical challenges in robot motion control. More recently, Sun has applied multi-robot navigation and collision avoidance techniques to agricultural settings, specifically for precise spraying in sweet potato fields. His 2024 study proposes a system to replace inefficient single-robot or semi-mechanized operations, aiming to improve timeliness in pest control and reduce labor demands. By bridging theoretical robotics with practical agricultural needs, Sun’s research is paving the way for more intelligent, cooperative, and efficient automation in farming, with potential to significantly impact food production and resource management.