Shubo Wang
Papers
8
Total Citations
97
H-Index
5
About
Shubo Wang is a leading researcher at the forefront of smart agricultural robotics, specializing in autonomous navigation, robotic manipulation, and machine vision for precision harvesting. His work bridges the gap between artificial intelligence and agricultural engineering, focusing on developing intelligent systems that replicate the human "eye–brain–hand" coordination for fruit picking. Wang’s major contributions include designing a novel path planning system for orchard mowers using an improved A* algorithm (27 citations) and constructing a collaborative harvesting system with multiple robotic arms and an end-picker for trellised pear orchards (22 citations). His comprehensive review of the "Eye–Brain–Hand" harvesting paradigm (21 citations) has become a foundational reference in the field. Wang also advanced monocular vision obstacle avoidance for indoor tracking robots (8 citations) and developed image recognition methods for apple picking robots (13 citations). With a total of over 97 citations across his most-cited works, his research is driving the automation of delicate fruit harvesting—from apples and pears to berries—addressing critical challenges in agricultural labor shortages and food production efficiency.
Research Focus
Key Achievements
Top Papers
- 1A Path Planning System for Orchard Mower Based on Improved A* Algorithm27 citations · 2024
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- 7An Enhancement Method of Obtaining Interest Points in Binocular Vision2 citations · 2018
- 8Advances in Berry Harvesting Robots1 citations · 2025