Xiancui Wei
Papers
2
Total Citations
8
H-Index
2
About
Xiancui Wei’s research focuses on intelligent control and coordination for multi-robot systems, with key contributions in path planning and formation control. In their highly cited work, Wei proposed a rapid path planning adaptive optimization algorithm that integrates fuzzy neural networks to overcome the limitations of subjective experience in fuzzy control, enabling mobile robots to navigate static unknown environments more efficiently. This work has garnered 5 citations, reflecting its foundational role in adaptive robotics. Additionally, Wei developed a formation control method for multi-robot leader-follower systems using an adaptive Kalman filter algorithm, which effectively eliminates system state noise and errors caused by sudden formation changes, ensuring stable robot coordination. This approach, cited 3 times, demonstrates Wei’s ability to enhance robot speed and heading angle accuracy. Together, these contributions advance the reliability and autonomy of multi-robot systems, offering practical solutions for real-world applications. Wei’s work is notable for bridging fuzzy logic, neural networks, and adaptive filtering, providing a robust framework for researchers and students exploring intelligent robotics and swarm coordination.
Research Focus
Key Achievements
Top Papers
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- 2