Renfei Zhang
Papers
5
Total Citations
31
H-Index
2
About
Renfei Zhang is a robotics engineer whose work bridges agricultural automation and infrastructure inspection. His research focuses on three key areas: agricultural robotics for precision harvesting, intelligent inspection robots for cable trenches and tunnels, and construction automation for rebar binding. Zhang’s most impactful contribution is his 2022 study on tomato picking damage, which uses finite element analysis to identify the lowest-damage gripping mode—a foundational piece for soft fruit harvesting robotics, cited 23 times. He has since advanced inspection robotics, designing a tracked robot with high climbing and obstacle-crossing performance for cable trenches, and a rail-based tunnel inspection robot with a five-degree-of-freedom manipulator for cable and equipment detection. His 2024 work on path planning and obstacle-crossing motion planning for cable trench robots introduces an enhanced A* algorithm, improving efficiency in complex environments. Most recently, Zhang has tackled construction automation, developing a rebar binding robot that uses binding point recognition and manipulator path planning to address labor-intensive prefabrication processes. His trajectory from agricultural to infrastructure and construction robotics demonstrates a versatile approach to automating challenging, real-world tasks.
Research Focus
Key Achievements
Top Papers
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