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About

Yongwei Tang is a researcher specializing in agricultural robotics and robotic arm trajectory planning. His primary contributions lie in the development of efficient path planning algorithms for agricultural robots, particularly through the application of improved genetic algorithms for complete coverage path planning (CCPP). This work is critical for enhancing the operational efficiency and quality of tasks such as tillage, fertilization, and harvesting, while simultaneously reducing energy consumption. His most-cited paper, "Field Complete Coverage Path Planning Based on Improved Genetic Algorithm for Transplanting Robot" (2023), has garnered 16 citations, underscoring its relevance to the field. Additionally, Tang has advanced the precision of robotic manipulators through his work on quintic polynomial trajectory planning for 6-DOF robotic arms (2017, 11 citations), demonstrating improved smoothness and control in joint-space motion. His research bridges theoretical optimization with practical agricultural applications, offering scalable solutions for autonomous farming systems. Tang’s work is particularly impactful for students and engineers seeking to integrate intelligent robotics into precision agriculture.