Jinhui Xiao
Papers
1
Total Citations
29
H-Index
1
About
Jinhui Xiao is a leading researcher in agricultural robotics, with a primary focus on robotic manipulation, slip detection, and autonomous harvesting in complex, unstructured environments. Their most-cited work, "Learning-Based Slip Detection for Robotic Fruit Grasping and Manipulation under Leaf Interference" (2022, 29 citations), addresses a critical bottleneck in robotic harvesting: the inability to reliably grasp fruit when occluded by foliage. By developing a learning-based slip detection framework, Xiao enables robots to adapt their grip in real time, significantly improving harvest success rates in cluttered canopies. This contribution bridges the gap between machine vision and robust manipulation, tackling the longstanding challenge of obstacle handling during grasping. Xiao’s research has direct implications for reducing labor dependency and increasing efficiency in fruit production. Their work is widely recognized for its practical impact on precision agriculture, and they continue to advance the field by integrating perception, control, and learning to create more resilient harvesting systems.
Research Focus
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Top Papers
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