Papers
2
Total Citations
7
H-Index
2
About
Haowen Luo is a researcher advancing the frontiers of agricultural robotics and multi-robot systems. His work centers on developing intelligent, lightweight solutions for real-world automation challenges, with a particular focus on precision livestock management and collaborative robot localization. In his highly cited 2025 paper, Luo introduced a novel method for automatic pig counting in intensive piggeries, deploying a green inspection robot integrated with an optimized YOLOv8n-seg framework. By replacing the C2f module with a Ghost module and incorporating a spatial group enhancement attention mechanism alongside a lightweight shared detail enhancement convolutional detection head, he achieved efficient, real-time segmentation—a breakthrough for automated monitoring in agriculture. This work has already garnered 5 citations, reflecting its immediate impact. Luo also tackles the complex problem of multi-robot global localization (MR-GL) with unknown initial poses, as demonstrated in his 2024 study. By leveraging neighbor constraints to resolve data association across robot viewpoints, he provides a robust solution for large-scale environments where traditional appearance-based methods fail. His contributions are paving the way for scalable, autonomous systems in both agricultural and industrial settings.
Research Focus
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Top Papers
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