Xinrui Qiu
Papers
2
Total Citations
23
H-Index
2
About
Xinrui Qiu is a leading researcher in agricultural robotics, specializing in autonomous navigation and control systems for orchard environments. Her work focuses on solving critical challenges in precision agriculture, particularly for mowing robots operating in complex, uneven terrain. Qiu’s major contributions include developing an innovative elliptic repulsion scope boundary constraint potential field method for local path planning, which significantly improves robot safety by creating more realistic obstacle avoidance boundaries in orchards. She also pioneered a cascaded model predictive control and anti-slip drive control system for path tracking, addressing the persistent problem of wheel slippage on varied surfaces. These advances have earned her papers over 20 combined citations since 2023, reflecting their immediate impact on the field. Her research directly enhances the reliability and autonomy of agricultural robots, enabling safer, more efficient orchard maintenance. Qiu’s work is notable for bridging theoretical control algorithms with practical agricultural applications, offering solutions that account for real-world terrain complexities. Her innovations are essential reading for researchers and students working on field robotics, autonomous navigation, and precision agriculture systems.
Research Focus
Key Achievements
Top Papers
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- 2