Xinmiao Wen

Shaanxi University of Science and Technology

Papers

Total Citations

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About

Xinmiao Wen is a rising researcher in intelligent systems and human-robot interaction, with a focus on advancing robotic design through integrated decision-making frameworks. Her most-cited work, "Design of a sweeping robot based on fuzzy QFD and ARIZ algorithms" (2024), introduces a novel methodology that combines fuzzy Quality Function Deployment with the ARIZ inventive problem-solving algorithm to optimize multifunctional robotic vacuum cleaners. This approach directly addresses user needs by enhancing cleaning effectiveness and human-robot interaction convenience, tackling persistent challenges such as small dust and hair accumulation. With 5 citations to date, this paper marks a foundational contribution to adaptive robotic design. Wen’s research bridges theoretical algorithms and practical engineering, offering a systematic pathway for developing more intuitive and efficient domestic robots. Her work holds promise for shaping next-generation autonomous cleaning systems, emphasizing user-centered innovation. As an emerging voice in the field, Wen continues to explore how structured problem-solving can elevate robotic performance, making her a researcher to watch in the evolving landscape of intelligent automation.