Xinxin Li

Capital Normal University, Shanghai Jiao Tong University

Papers

Total Citations

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About

Xinxin Li is a researcher working at the intersection of robotics, software engineering, and precision manufacturing systems. Their most recognized contribution is a formal model-based design methodology for robotic systems, published in 2018 and accumulating 47 citations — a strong indicator of its influence within the robotics and software engineering communities. This work addressed a critical gap in existing model-based approaches by introducing automated code generation, significantly improving both the efficiency and quality of robotic software development at a time when manual implementation remained the norm. Beyond robotics, Li has extended their expertise into high-precision manufacturing, investigating the kinematic errors of linear axes in high-end CNC machine tools. Their 2021 work introduced a novel error equivalence model aimed at quantifying error relationships during the assembly process — a problem of considerable practical importance for machining precision. Together, these contributions reflect a research profile that bridges formal software methodologies with real-world engineering challenges, spanning intelligent robotic systems and advanced manufacturing. Li's work appeals to researchers and practitioners seeking rigorous, model-driven solutions to complex design and precision engineering problems.