Papers
1
Total Citations
9
H-Index
1
About
Meiqi Hu is a robotics researcher whose work focuses on autonomous navigation and path planning for agricultural robots operating in complex, unstructured environments. Her key contributions center on developing advanced algorithms that enable nonholonomic orchard robots to navigate safely and efficiently through challenging terrain. Hu’s most cited work, “HPS-RRT*: An Improved Path Planning Algorithm for a Nonholonomic Orchard Robot in Unstructured Environments” (2025), has already garnered 9 citations, demonstrating its early impact in the field. This research directly addresses fundamental challenges in autonomous robotics—including low search efficiency, suboptimal path quality, and susceptibility to local optima—by proposing a novel hybrid path planning approach that combines heuristic search with sampling-based methods. Her algorithm significantly improves the ability of orchard robots to perform tasks such as fruit harvesting and monitoring without human intervention. Hu’s work represents an important step toward practical, real-world deployment of agricultural robots, bridging the gap between theoretical path planning research and the demanding requirements of precision agriculture. Her contributions are particularly valuable for students and researchers interested in field robotics, autonomous navigation, and the application of AI to agricultural challenges.
Research Focus
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Top Papers
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