Rongxian Mo

Papers

Total Citations

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About

Rongxian Mo is a researcher specializing in intelligent path planning and agricultural robotics, with a focus on optimizing navigation systems for autonomous mobile robots and field machinery. Mo's most notable contribution is the development of a three-neighbor search A* algorithm combined with artificial potential fields, which significantly reduces search nodes and computation time in path planning—a critical advancement for real-time robot navigation. This work, published in 2021, has garnered 26 citations, reflecting its relevance in the robotics and automation community. In agricultural applications, Mo proposed an improved grayscale factor method for extracting navigation lines in corn fields, addressing challenges posed by varying plant growth stages and soil conditions. This 2020 study, with 9 citations, enhances the accuracy and speed of autonomous guidance in row-crop agriculture. Mo's research bridges theoretical algorithm design with practical deployment, offering efficient solutions for mobile robot movement and precision agriculture. By tackling core issues in path optimization and visual navigation, Mo's work supports the development of smarter, more responsive autonomous systems.