Kuncai Xu

Guilin University of Aerospace Technology

Papers

Total Citations

H-Index

About

Kuncai Xu is a researcher focused on intelligent robotics and automation, with a particular emphasis on the navigation and control of automated guided vehicles (AGVs). His work addresses critical challenges in industrial robotics, especially in dynamic and unpredictable environments. Xu's most cited paper, "Study on Obstacle Avoidance of AGV based on Fuzzy Neural Network" (2019), introduces a hybrid approach that combines fuzzy logic with neural networks to enhance an AGV's ability to avoid obstacles in real time. This contribution is significant for improving the safety and efficiency of autonomous material handling in factories and warehouses. With 4 citations, this work represents a foundational step in applying soft computing techniques to mobile robot navigation. Xu's research aligns with broader trends in Industry 4.0, where intelligent vehicles are key to streamlining logistics and reducing human intervention. His work offers practical insights for students and researchers interested in the intersection of artificial intelligence, control systems, and robotics, highlighting how fuzzy neural networks can be leveraged to solve real-world automation problems.