Xiaohui Mo

Papers

Total Citations

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About

Xiaohui Mo is a researcher in robotics and mechanical engineering, with a primary focus on the kinematic performance and multi-objective optimization of robotic mechanisms. Mo’s most cited work, “Multi-objective performance optimization of robotic mechanism” (2016), introduces a sophisticated framework for enhancing industrial robot design. By analyzing and optimizing three critical kinematic indices—global kinematic average, volatility, and worst-case values—Mo demonstrates how link length parameters can be systematically tuned using multi-objective algorithms. This contribution addresses a fundamental challenge in robotics: balancing competing performance metrics to achieve more efficient, reliable, and precise motion. Although the citation count for this paper is modest at 2, the work reflects a rigorous, applied approach to mechanism design that holds practical value for engineers developing next-generation industrial robots. Mo’s research sits at the intersection of kinematics, optimization theory, and mechanical design, offering a clear methodology for improving robot performance in real-world manufacturing and automation settings. For students and researchers interested in robotic mechanism design, Mo’s work provides a concise, technically grounded example of how optimization techniques can directly shape hardware performance.