Zongming Liu

Shaanxi University of Science and Technology

Papers

Total Citations

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About

Zongming Liu is an emerging researcher in intelligent robotics and human-robot interaction, with a focus on user-centered design methodologies. His most cited work, "Design of a sweeping robot based on fuzzy QFD and ARIZ algorithms" (2024), introduces a novel framework that integrates fuzzy Quality Function Deployment (QFD) with the Algorithm for Inventive Problem Solving (ARIZ) to optimize robotic vacuum cleaner design. This approach systematically translates user needs into engineering characteristics, addressing common challenges like small dust and hair accumulation while enhancing cleaning effectiveness and interaction convenience. Although early in his career, Liu's work has already garnered 5 citations, signaling growing interest in his innovative synthesis of design theory and robotics. His contributions stand out for bridging the gap between abstract user requirements and tangible robotic functionality, offering a replicable model for future smart home devices. Liu's research holds promise for advancing autonomous cleaning systems, making them more adaptive and user-friendly—a critical step toward seamless human-robot collaboration in domestic environments.