Ziyi Wei
Papers
1
Total Citations
6
H-Index
1
About
Ziyi Wei is a researcher in agricultural robotics and automation, with a primary focus on intelligent path planning for fruit harvesting systems. Her most-cited work, "Simulation of Apple Picking Path Planning Based On Artificial Potential Field Method" (2019), addresses a critical challenge in agricultural robotics: designing efficient, obstacle-aware picking trajectories for robot manipulators operating in dynamic, unstructured orchard environments. In this study, Wei develops a dual-mode path planning approach that separately handles obstacle avoidance and non-obstacle scenarios, demonstrating how the artificial potential field method can be adapted for delicate fruit harvesting tasks. Though early in her career, with this paper accumulating 6 citations, her work contributes to the growing field of precision agriculture by tackling the practical constraints of real-world harvesting—where branches, leaves, and varying fruit positions demand adaptive, collision-free motion planning. Wei's research sits at the intersection of robotics, control systems, and agricultural engineering, offering foundational insights for the development of autonomous picking robots that could reduce labor costs and improve harvest efficiency. Her work is particularly relevant for students and researchers exploring sensor-based navigation, manipulator control, and the application of classical path planning algorithms to novel agricultural contexts.
Research Focus
Key Achievements
Top Papers
- 1