Mozhi Li

Papers

Total Citations

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About

Mozhi Li is a pioneering researcher in advanced manufacturing and robotic automation, with a primary focus on roller hemming technologies for complex autobody panels. His work bridges differential geometry, machine vision, and optimization to address critical challenges in automotive production. Li’s most-cited paper, "Differential geometry modeling and application of roller pose and trajectory of robot roller hemming for complex curved surface-curved edge panels" (2023, 11 citations), introduces a novel framework for precisely controlling robot roller trajectories on non-planar surfaces, significantly improving hemming quality for intricate panel geometries. Building on this, his 2024 study on "Optimization modeling and application of machine vision-based robot roller hemming for autobody panels with adhesive" (3 citations) integrates real-time visual feedback to enhance adhesive bonding accuracy, reducing defects and material waste. These contributions have direct implications for lightweight vehicle design and smart manufacturing, with Li’s work cited by engineers and researchers seeking to automate high-precision assembly tasks. His research stands out for its practical fusion of theoretical modeling with industrial application, positioning him as a key innovator in robotic fabrication for the automotive sector.