Hongfeng Deng
Papers
2
Total Citations
8
H-Index
1
About
Hongfeng Deng is a researcher focused on advancing agricultural robotics, with key contributions in autonomous navigation and path planning for confined farming environments. Their work addresses critical challenges in precision livestock farming, particularly for cage chicken coop inspection and cleaning robots. Deng's most cited paper (2024, 7 citations) introduces a novel grayscale factor (4B-3R-2G) that enables fast and accurate road extraction in complex poultry housing, coupled with a navigation line fitting algorithm to improve inspection robot stability and speed. A more recent study (2025, 1 citation) explores rapid path definition and path-tracking methods for CleaningBot in stacked cage houses, leveraging learning from demonstration to enhance adaptability. While their citation counts are still growing, Deng's contributions are notable for their practical impact on automating tedious and labor-intensive tasks in animal agriculture, directly improving efficiency and welfare monitoring. Their work bridges computer vision, robotics, and agricultural engineering, offering scalable solutions for smart farming. As the field of agricultural robotics expands, Deng's research lays essential groundwork for robust, real-time navigation in non-ideal, cluttered environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2