Guanghe Cheng

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About

Dr. Guanghe Cheng is a leading researcher in autonomous robotics and intelligent navigation systems, with a focus on agricultural automation and mobile robot control. His work bridges multi-sensor information fusion and path planning, driving innovation in both industrial and agricultural robotics. Dr. Cheng’s most cited paper, “Development of multi-sensor information fusion and AGV navigation system” (2020, 24 citations), advances Automated Guided Vehicle (AGV) technology by integrating electromagnetic and optical guidance for secure, efficient material transport—a cornerstone for smart manufacturing. He has also made seminal contributions to agricultural robotics through his 2023 studies on “Field Complete Coverage Path Planning Based on Improved Genetic Algorithm for Transplanting Robot” (16 and 14 citations), which optimize complete coverage path planning (CCPP) to reduce energy consumption and enhance tillage, fertilization, and harvesting efficiency. By applying genetic algorithms to real-world field constraints, Dr. Cheng’s work directly addresses the scalability and sustainability challenges in precision agriculture. His research not only improves robot autonomy but also offers practical solutions for labor-intensive farming, earning him recognition as a key innovator in the intersection of robotics, sensor fusion, and agricultural engineering.