Yuquan Xue
Papers
1
Total Citations
2
H-Index
1
About
Yuquan Xue is a researcher focused on advancing intelligent robotics, particularly in the domain of autonomous navigation and path planning for service robots. His most notable work, "Study on Path Planning for Family Service Robot Based on Improved Genetic Algorithm" (2019), introduces a novel optimization approach that enhances the efficiency and adaptability of robotic movement in domestic environments. By refining genetic algorithm techniques, Xue addresses key challenges in real-time obstacle avoidance and route optimization, contributing to the practical deployment of family service robots. While his citation count is still growing, this foundational paper demonstrates his commitment to bridging theoretical algorithms with real-world robotic applications. Xue’s research holds promise for improving human-robot interaction in everyday settings, and his work continues to inspire further developments in adaptive, intelligent navigation systems.
Research Focus
Key Achievements
Top Papers
- 1