Xiaobo Xi

Papers

Total Citations

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About

Xiaobo Xi is a robotics and agricultural automation researcher whose work centers on the design, control, and optimization of mobile robotic systems for precision agriculture. His research addresses critical challenges in autonomous agricultural robots, particularly in the areas of steering control, motion mode switching, and drive system integration for field applications such as detection, weeding, and environmental monitoring. Xi's most notable contribution examines the performance optimization of motion mode switching in four-wheel-steering agricultural mobile robots, demonstrating how carefully tuned control parameters can ensure smooth and reliable transitions between steering configurations — work that has garnered 12 citations since its 2022 publication. Building on this foundation, his 2023 study introduced a two-stage fuzzy controller for an off-center steer-by-wire system in an in-wheel motor-driven robot, advancing the understanding of PWM duty cycle influence on steering behavior and providing a practical control solution for next-generation agricultural platforms. Collectively, Xi's research bridges theoretical control engineering and real-world agricultural robotics, offering engineers and agronomists actionable frameworks for developing more precise, adaptable, and field-ready robotic systems. His growing citation record reflects an emerging influence in the specialized intersection of intelligent control and smart farming technology.