Papers
3
Total Citations
22
H-Index
2
About
Hong Miao is a pioneering researcher in agricultural robotics, specializing in autonomous systems for smart farming and precision manufacturing. Their work focuses on developing intelligent robotic solutions for poultry and livestock management, with key contributions in path planning, object recognition, and robotic manipulation. Miao’s most cited paper, "An Approach for Autonomous Feeding Robot Path Planning in Poultry Smart Farm" (2022, 15 citations), addresses critical challenges in poultry farming—such as poor feeding environments and labor demands—by proposing energy-efficient path planning algorithms for feeding robots. This work has laid the groundwork for more autonomous and sustainable farming practices. Another notable contribution, "An approach for goose egg recognition for robot picking based on deep learning" (2023, 6 citations), tackles the difficult task of detecting goose eggs buried in litter and feathers in non-cage environments, enabling intelligent robotic picking systems. Miao’s research also extends to industrial robotics, as seen in their 2025 paper on segmented pose planning for welding robots on large-diameter curved surfaces. With a growing citation record, Hong Miao is advancing the intersection of robotics, deep learning, and agriculture, offering impactful solutions for labor-intensive tasks in both farm and factory settings.
Research Focus
Key Achievements
Top Papers
- 1An Approach for Autonomous Feeding Robot Path Planning in Poultry Smart Farm15 citations · 2022
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