Guanghui Xu
Papers
3
Total Citations
104
H-Index
3
About
Dr. Guanghui Xu is a leading researcher in mobile robotics and multi-agent systems, with a primary focus on intelligent path planning and swarm intelligence algorithms. His most impactful work, "A new hybrid algorithm for path planning of mobile robot" (2021, 72 citations), introduces a novel approach that significantly improves navigation efficiency in complex environments. Dr. Xu has also advanced the field through his development of the adaptive dynamic firefly algorithm (2020, 27 citations), which optimizes path planning by dynamically adjusting search parameters, addressing a key challenge in swarm intelligence applications. His research extends to networked heterogeneous robotic systems, where his work on estimator-based hierarchical cooperative algorithms (2020, 5 citations) tackles the complex problem of time-varying formation control for robots with varying degrees of redundancy and external disturbances. This contribution is particularly notable for its theoretical depth and practical relevance to coordinated multi-robot tasks. Dr. Xu’s work bridges the gap between theoretical swarm intelligence and real-world robotic applications, making him a key figure in advancing autonomous navigation and cooperative robotics.
Research Focus
Key Achievements
Top Papers
- 1A new hybrid algorithm for path planning of mobile robot72 citations · 2021
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