Papers
2
Total Citations
7
H-Index
2
About
Wenya Xia’s research focuses on intelligent robotic path planning and optimization for complex industrial manufacturing environments, particularly in shipbuilding and marine engineering. Her major contribution is the development of an improved genetic algorithm that enables collision-free robot path planning in confined workspaces—a critical challenge for automating welding processes on complex components with densely distributed weld seams and environmental obstacles. By enhancing the efficiency and safety of industrial robot navigation, her work directly addresses real-world manufacturing bottlenecks. Her most-cited paper, “An improved genetic algorithm based robot path planning method without collision in confined workspace” (2019), has accumulated 5 citations, reflecting its relevance to researchers and engineers in robotics and manufacturing. This achievement underscores her ability to translate algorithmic innovations into practical solutions for high-stakes industrial applications. Wenya Xia’s research stands at the intersection of computational intelligence and automation, offering valuable insights for students and professionals seeking to advance robotic autonomy in constrained, obstacle-rich environments.
Research Focus
Key Achievements
Top Papers
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