Xiangxun Cheng

Papers

Total Citations

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About

Xiangxun Cheng is a researcher specializing in agricultural robotics and autonomous vehicle control, with a particular focus on the development of intelligent systems for precision farming. His major contribution lies in the design of obstacle avoidance controllers for agricultural tractors, integrating the Robot Operating System (ROS) to manage complex system dynamics. Cheng’s work addresses critical challenges in autonomous navigation, including yaw lateral dynamics, longitudinal control, and nonlinear constraints such as speed and steering angle limits during path tracking. His most-cited paper, "Design of obstacle avoidance controller for agricultural tractor based on ROS" (2019), has accumulated a total of 25 citations across its versions, demonstrating its relevance in the field. This research is foundational for advancing safe and efficient autonomous operations in agricultural environments, reducing the need for human intervention while improving productivity. Cheng’s achievements highlight his role in bridging robotics and agriculture, offering practical solutions for real-world deployment. His work serves as a valuable resource for students and researchers exploring autonomous systems in agriculture, emphasizing the integration of control theory with modern software frameworks.