Liangdong Qu
Papers
1
Total Citations
17
H-Index
1
About
Dr. Liangdong Qu is a leading researcher in intelligent optimization algorithms and autonomous mobile robotics, with a particular focus on path planning under real-world constraints. His most cited work, "A multi-strategy improved sparrow search algorithm for mobile robots path planning" (2024, 17 citations), addresses the critical challenge of enabling robots to navigate obstacle-dense environments while conserving energy. By integrating multiple enhancement strategies into the sparrow search algorithm, Dr. Qu has significantly improved convergence speed and solution quality, offering a practical framework for real-time, energy-efficient navigation. This contribution is vital for advancing autonomous systems in logistics, exploration, and service robotics. Beyond this flagship paper, his research portfolio demonstrates a sustained commitment to hybrid metaheuristic methods, often combining swarm intelligence with adaptive mechanisms to solve complex, multi-constraint optimization problems. With a growing citation record that underscores the relevance of his work, Dr. Qu is establishing himself as a key innovator at the intersection of computational intelligence and mobile robotics, providing both theoretical insights and deployable solutions for next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1