Haorui Wang

Central South University of Forestry and Technology, Nanjing Tech University

Papers

Total Citations

H-Index

About

Haorui Wang is a researcher advancing intelligent robotics for agriculture and autonomous navigation. His primary research areas include agricultural robotics, computer vision, and path planning for mobile robots. Wang’s major contributions center on developing robust detection and identification methods for *Camellia oleifera* tree trunks in unstructured natural environments—a critical technology for fruit harvesting robots. His work on an improved YOLOv7-based trunk detection system enables accurate localization of vibration or picking points, directly supporting the modernization and sustainability of agricultural robots. In mobile robotics, Wang has also proposed an improved Spider-Wasp Optimizer for obstacle avoidance path planning, addressing the challenge of local optimal paths in complex environments to enhance robot reliability and practicality. His most-cited paper, “A Trunk Detection Method for Camellia oleifera Fruit Harvesting Robot Based on Improved YOLOv7,” has garnered 19 citations, reflecting its impact on precision agriculture. With additional publications on trunk identification and path planning, Wang is contributing practical, vision-driven solutions that bridge computer vision and field robotics, promising to make agricultural automation more efficient and resilient.