WU Qiang

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About

Wu Qiang is a leading researcher in agricultural robotics, with a primary focus on intelligent harvesting systems for specialty crops. His most impactful work centers on the design and control of picking robots for premium tea leaves, addressing critical labor shortages in the tea industry. In his landmark 2022 paper, Wu developed a complete robotic system integrating a 3P-Delta manipulator, depth camera, and deep learning vision to autonomously identify and pluck tender tea shoots. His key contributions include a Bézier curve-based trajectory optimization that reduces acceleration spikes during rapid picking, and a sliding mode control strategy with an improved exponential reaching law to suppress chattering. These innovations achieved a 75% picking rate and high integrity in field tests. With 10 citations on this core work, Wu’s research has advanced the practical deployment of agricultural robots in unstructured environments. His achievements demonstrate a rare combination of mechanical design, control theory, and computer vision, making him a notable figure in precision agriculture and robotic harvesting.