Papers
1
Total Citations
45
H-Index
1
About
Huimin Miao is a researcher specializing in robotics, path planning, and optimization algorithms, with a particular focus on applications in hazardous and complex environments. Their most notable contribution is the development of an improved ant colony optimization algorithm for coal mine robot navigation, published in 2021. This work introduced a novel workspace model that captures the intricate and dangerous conditions of underground coal mines, where path cost is determined not only by distance but also by hybrid criteria such as safety and energy efficiency. The paper has garnered 45 citations, reflecting its practical significance in industrial robotics and autonomous navigation. Miao’s research bridges theoretical optimization with real-world deployment, addressing critical challenges in search-and-rescue and inspection tasks. Their work stands out for its innovative integration of multi-objective constraints into swarm intelligence, offering a robust solution for robots operating in confined, unpredictable settings. By advancing path planning methodologies, Huimin Miao contributes to safer and more efficient automation in mining and other high-risk industries.
Research Focus
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Top Papers
- 1