Xiongwei Wu
Papers
1
Total Citations
8
H-Index
1
About
Xiongwei Wu is a researcher specializing in multi-robot systems, cooperative path planning, and intelligent control. His major contribution lies in developing a novel cooperative path planning method that integrates uncertainty-based cooperative reasoning (UCR) and fuzzy comprehensive evaluation (FCE) with behavior regulation, enabling efficient coordination in large-scale multi-robot systems. This work, published in 2023, has already garnered 8 citations, reflecting its early impact in addressing the challenges of scalability and real-time decision-making in swarm robotics. Wu’s approach stands out for its ability to balance task efficiency and collision avoidance through adaptive behavioral rules, offering a practical framework for applications in search-and-rescue, warehouse logistics, and autonomous exploration. His research bridges theoretical modeling and practical deployment, with a focus on robustness in dynamic environments. As a rising figure in the field, Wu’s work continues to influence the development of decentralized, scalable algorithms for complex multi-agent systems, making him a key contributor to the advancement of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1