Zang Guansheng

Papers

Total Citations

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About

Zang Guansheng is a pioneering researcher in agricultural robotics and intelligent sensing systems, with a focus on developing autonomous platforms for precision farming. His most-cited work, "Obstacle avoidance system for agricultural robots based on multi-sensor information fusion" (2011, 14 citations), introduces a modular robot design integrating GPS navigation, crawler mobility, and multi-sensor fusion for real-time obstacle detection and posture control. This contribution addresses critical challenges in field automation, enabling robots to operate safely in unstructured agricultural environments. By combining deceleration drives, electrical controls, and sensor arrays, Zang’s system enhances the reliability of autonomous navigation—a foundational step toward smart farming. His research bridges robotics, sensor technology, and agricultural engineering, offering practical solutions for labor-intensive tasks. Though his citation count reflects a niche but impactful body of work, Zang’s innovations in modular robot architecture and sensor integration have influenced subsequent designs in agricultural robotics. For students and researchers, his work exemplifies how interdisciplinary approaches—merging mechanical design, control systems, and environmental sensing—can drive progress in field automation, making him a notable contributor to the evolution of intelligent agricultural machinery.