Liangkuan Zhu
Papers
2
Total Citations
15
H-Index
2
About
Liangkuan Zhu is a prominent researcher in intelligent robotics and multi-agent systems, best known for advancing optimization algorithms in autonomous navigation. His most influential work, "An improved whale optimization algorithm for multi-robot path planning" (2024), has garnered 9 citations for introducing a novel metaheuristic that significantly enhances coordination and collision-free route planning among multiple robots. This contribution addresses critical challenges in swarm robotics and industrial automation. Earlier, Zhu's "Research on Intelligent Control System of Manipulator Based on Multi Degree of Freedom" (2018, 6 citations) laid foundational insights into adaptive control strategies for robotic arms, improving precision in complex manipulation tasks. His research bridges theoretical optimization with practical robotic applications, impacting fields from warehouse logistics to autonomous exploration. Zhu’s work is recognized for its computational efficiency and scalability, making him a key figure in the evolution of intelligent control systems.
Research Focus
Key Achievements
Top Papers
- 1An improved whale optimization algorithm for multi-robot path planning9 citations · 2024
- 2