Papers
19
Total Citations
1,271
H-Index
13
About
Ya Xiong is a pioneering researcher in agricultural robotics, with a primary focus on autonomous fruit harvesting systems and precision machine vision for unstructured environments. Best known for his groundbreaking work on strawberry harvesting robots, Xiong has led the design, integration, and field evaluation of complete robotic systems capable of operating in the challenging, cluttered conditions of commercial polytunnels — work that has attracted over 417 citations in a single landmark 2019 publication alone. His contributions span the full engineering pipeline: from novel cable-driven gripper design and deep learning-based fruit segmentation, to sophisticated 3D localization methods and innovative obstacle-separation algorithms that enable robots to pick fruits nestled within dense clusters. His symmetry-based shape completion approach further advances fruit localization accuracy by addressing the persistent problem of occluded targets in single-view imaging. Beyond strawberry harvesting, Xiong has contributed to laser-based precision weeding robotics, demonstrating a breadth of expertise in agricultural automation. With a cumulative citation record exceeding 1,200 across his top works, his research has substantially shaped the field of agricultural robotics, offering practical, field-evaluated solutions to some of the most persistent challenges in automating food production.
Research Focus
Key Achievements
Top Papers
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- 3Fruit Localization and Environment Perception for Strawberry Harvesting Robots112 citations · 2019
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- 7An obstacle separation method for robotic picking of fruits in clusters51 citations · 2020
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