Xiaolin Xie

Henan University of Science and Technology

Papers

Total Citations

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About

Xiaolin Xie is a robotics researcher whose work focuses on intelligent path planning, steering system design, and multi-robot task allocation for agricultural and service robots. Their most cited paper, “Hybrid genetic ant colony optimization algorithm for full-coverage path planning of gardening pruning robots” (2024, 12 citations), introduces a novel hybrid algorithm that combines genetic and ant colony optimization to achieve efficient, full-coverage navigation for pruning robots—a critical advancement for automated horticulture. In earlier work, Xie addressed the mechanical challenge of wheel slip in mobile robots by designing a pure rolling steering system using synchronous belts, published in 2019 (3 citations), which improves precision and reduces wear in wheeled platforms. Most recently, in 2025, Xie developed an improved KOA algorithm for task allocation in hilly orchards with weeding robots (1 citation), tackling the complex problem of balancing travel distance and operational efficiency in uneven terrain. Together, these contributions demonstrate Xie’s commitment to advancing autonomous robotics in agriculture, from mechanical design to algorithmic optimization, with clear potential for real-world deployment in precision farming and smart gardening.