Yijie Sun
Papers
2
Total Citations
6
H-Index
2
About
Yijie Sun’s research lies at the intersection of robotics, intelligent control systems, and multi-robot coordination. His work addresses fundamental challenges in robotic manipulation and autonomous navigation, focusing on improving precision, stability, and safety in dynamic environments. One of his key contributions is the development of a collision avoidance algorithm for multi-robot systems using an improved artificial coordinating field, which enhances real-time path planning and cooperative behavior among robots. This work, published in 2013, has garnered 3 citations and laid groundwork for safer multi-agent operations. More recently, Sun tackled the persistent industrial problem of manipulator jitter and poor repeatability in two-degree-of-freedom (2-DOF) robotic arms. His 2021 study proposes an adaptive fuzzy backstepping control method that dynamically adjusts to modeling uncertainties and external disturbances, significantly improving positioning accuracy and control smoothness. This paper, also with 3 citations, demonstrates his ability to bridge theoretical control theory with practical robotic applications. Sun’s research is particularly valuable for students and engineers seeking robust, implementable solutions for real-world robotic systems, from manufacturing floors to autonomous fleets.
Research Focus
Key Achievements
Top Papers
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- 2