Huiqiu Lu
Papers
1
Total Citations
4
H-Index
1
About
Huiqiu Lu is a researcher in robotics and control systems, with a focus on modular robot manipulators and adaptive dynamic programming (ADP). Their key contributions lie in developing decentralized robust optimal control strategies for modular robotic systems, addressing challenges in coordination and stability under uncertain environments. In their most-cited work, "Decentralized Robust Optimal Control for Modular Robot Manipulators Based on Zero-Sum Game with ADP," published in 2019, Lu introduced a novel framework that combines game theory with ADP to achieve robust performance in modular manipulators. This approach enables individual modules to operate autonomously while ensuring overall system stability and optimality, a significant advancement for flexible and reconfigurable robotic systems. With 4 citations, this paper has laid groundwork for further exploration in decentralized control, demonstrating Lu's ability to integrate theoretical rigor with practical robotic applications. Their work continues to influence research in modular robotics and intelligent control, offering insights for students and researchers interested in scalable, robust automation solutions.
Research Focus
Key Achievements
Top Papers
- 1