Xiangrong Xu
Papers
1
Total Citations
8
H-Index
1
About
Xiangrong Xu is a researcher specializing in robotic systems optimization, with a particular focus on trajectory planning and motion control for robotic manipulators. His work sits at the intersection of computational intelligence and robotics engineering, applying advanced metaheuristic optimization techniques to solve complex real-world challenges in automated systems. Xu's most notable contribution to date is his 2024 paper on time-jerk optimal trajectory planning for robotic arms, which introduces an improved dingo optimization algorithm to simultaneously minimize motion time and jerk — a critical factor in reducing mechanical wear and improving operational smoothness in industrial robots. This work has already garnered 8 citations since its publication, reflecting growing interest from the robotics and optimization communities. By enhancing the dingo optimization algorithm, Xu demonstrated meaningful improvements over conventional trajectory planning methods, offering a more efficient and practical solution for robotic arm control in manufacturing and automation contexts. Though early in terms of publication volume, Xu's research addresses highly relevant engineering problems as industries increasingly demand precise, energy-efficient robotic systems. His contributions represent a promising foundation in intelligent optimization applied to robotics, positioning him as an emerging voice in this rapidly evolving field.
Research Focus
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Top Papers
- 1