Shangshang Wu

Central South University of Forestry and Technology

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About

Shangshang Wu is a researcher at the forefront of agricultural robotics and intelligent vision systems, with a primary focus on precision harvesting technologies. Wu’s most notable contribution lies in the development of lightweight, real-time visual servo control for robotic fruit picking, as demonstrated in the highly cited work "Robot visual servo based on lightweight YOLO11-SMMA for Camellia oleifera fruits harvesting" (2026). This study introduces an innovative integration of a streamlined YOLO11-SMMA object detection model with servo control, enabling robots to accurately locate and harvest Camellia oleifera fruits in complex orchard environments. By significantly reducing computational load while maintaining high detection accuracy, Wu’s approach addresses critical challenges in agricultural automation—namely, speed, reliability, and energy efficiency. The work has garnered early recognition with 2 citations, signaling its growing influence in the fields of computer vision and agri-robotics. Wu’s research bridges the gap between deep learning and practical field robotics, offering scalable solutions for sustainable agriculture. Their contributions are particularly valuable for students and researchers exploring edge computing in autonomous systems, real-time object detection, and human-robot collaboration in unstructured environments.