Li Fuying
Papers
1
Total Citations
2
H-Index
1
About
Li Fuying is a researcher whose work centers on the intersection of robotics and optimization algorithms, with a particular focus on the inverse kinematics of redundant robotic arms. Her most-cited paper, "Inverse solution of redundant robot arm based on glowworm swarm optimization algorithm of time-varying" (2016), introduces a novel approach that leverages a time-varying glowworm swarm optimization algorithm to solve the complex, multi-solution problem of inverse kinematics in redundant manipulators. This contribution is significant because it offers an efficient and adaptive method for real-time control, addressing a key challenge in robotics where traditional analytical solutions fall short. While her citation count of 2 reflects a niche but specialized impact, her work is notable for its innovative application of swarm intelligence to robotic motion planning—a field that continues to grow in importance for industrial automation and autonomous systems. Li Fuying’s research provides a foundation for further exploration into bio-inspired algorithms for robotic control, making her a valuable contributor to the ongoing dialogue between optimization theory and practical robotics.
Research Focus
Key Achievements
Top Papers
- 1