Papers
2
Total Citations
23
H-Index
2
About
Xinyao Xu is a researcher specializing in the dynamics and optimization of robotic systems, with a particular focus on shift manipulators for robot drivers. Their work addresses critical challenges in mechanical transmission systems, especially those involving multiple clearance joints—a common source of nonlinear behavior and reduced precision. Xu’s major contributions include developing a nonlinear dynamic characteristic modeling method that captures the complex effects of joint clearances on manipulator performance, enabling more accurate predictions of system behavior. They have also advanced multi-objective optimization design approaches, notably employing a simulated annealing-particle swarm algorithm (SA-PSA) to balance competing design goals such as precision, durability, and efficiency. Xu’s most cited paper, “A nonlinear dynamic characteristic modeling method of shift manipulator for robot driver with multiple clearance joints” (2022), has garnered 19 citations, reflecting its relevance to researchers in robotics and mechanical engineering. Their work is particularly valuable for improving the reliability and control of automated driving systems, where precise gear shifting is essential. Xu’s research bridges theoretical modeling and practical design, offering tools that enhance the performance of robotic drivers in real-world applications.
Research Focus
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Top Papers
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