Papers
2
Total Citations
23
H-Index
2
About
Fei Ke is a robotics researcher specializing in agricultural automation, with a particular focus on the navigation and control of orchard mowing robots. Their work addresses critical challenges in deploying autonomous systems within complex, unstructured agricultural environments. Ke’s major contributions include the development of an innovative local path planning algorithm based on an elliptic repulsion scope boundary constraint potential field method, which significantly improves a robot’s ability to safely navigate around obstacles in uneven orchard terrain. Additionally, they have advanced path tracking precision by designing a cascaded model predictive control system integrated with anti-slip drive control, effectively mitigating the longitudinal slippage that plagues robots on soft or uneven ground. These combined contributions—cited over 20 times in just two years—demonstrate a focused and impactful research trajectory. Ke’s work is notable for directly addressing real-world operational safety and reliability issues, bridging the gap between theoretical control methods and practical agricultural robotics. Their research provides a strong foundation for future developments in precision agriculture and autonomous field operations.
Research Focus
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Top Papers
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