Huawei Yang

Shandong Academy of Agricultural Machinery Sciences

Papers

Total Citations

H-Index

About

Huawei Yang is a pioneering researcher at the forefront of agricultural robotics, specializing in intelligent harvesting systems for fruit crops. His work centers on three critical challenges: object detection and localization, autonomous motion planning, and robotic manipulation for delicate produce. Yang’s major contributions include developing advanced computer vision algorithms that enable fruit-harvesting robots to accurately identify and locate targets in complex, cluttered orchard environments, directly improving picking efficiency and reducing fruit damage. His 2025 paper on object detection for harvesting robots, with 7 citations, is a foundational reference in the field, addressing the precision needed for robotic fruit picking. In his 2024 study on apple harvesting, Yang tackled the problem of slow motion planning in multi-DOF manipulators by introducing an autonomous task-planning framework that reduces path costs and operational time. His 2025 work on berry harvesting robots further demonstrates his impact, focusing on the unique challenges of handling thin-skinned, fragile fruits with inconsistent ripening. Through these studies, Yang is shaping the future of automated agriculture, paving the way for robots that can replace manual labor in high-intensity, time-sensitive harvesting tasks.