Yongshang Wang
Papers
2
Total Citations
29
H-Index
2
About
Yongshang Wang is a robotics researcher specializing in agricultural automation, with a focus on intelligent perception and motion planning for fruit harvesting and selective weeding. His work addresses critical challenges in precision agriculture, particularly in dynamic and unstructured environments. Wang’s most-cited paper, “Continuous picking of yellow peaches with recognition and collision-free path” (2023, 17 citations), introduces a novel approach combining real-time fruit recognition with obstacle-aware trajectory planning, enabling efficient and damage-free harvesting. His subsequent study, “In different weed distributions, the dynamic coverage algorithm for mechanical selective weeding robot” (2024, 12 citations), proposes an adaptive coverage algorithm that optimizes weeding robot paths under varying weed densities, significantly reducing energy consumption and herbicide use. These contributions demonstrate Wang’s ability to bridge computer vision, robotics, and agronomy, offering scalable solutions for sustainable farming. His work has been recognized for its practical impact, with algorithms that are directly applicable to existing agricultural robots. Wang’s research continues to push the boundaries of autonomous field operations, making him a rising figure in agricultural robotics.
Research Focus
Key Achievements
Top Papers
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- 2