Wei Xia
Papers
1
Total Citations
7
H-Index
1
About
Wei Xia is a leading researcher in multi-robot systems, artificial intelligence, and cooperative control, with a particular focus on adaptive optimization for surveillance and autonomous navigation. Their most cited work, "Adaptive Memetic Algorithm with Dual-Level Local Search for Cooperative Route Planning of Multi-Robot Surveillance Systems" (2024, 7 citations), introduces a novel dual-level local search mechanism within a memetic algorithm framework to solve complex route planning problems for multi-robot teams. This contribution is critical for applications in disaster search and rescue, agricultural irrigation, and environmental monitoring, where robust adaptability and heightened autonomy are essential. By addressing the coordination of multiple robots for surveillance of key target positions, Xia’s research bridges theoretical optimization with real-world deployment challenges. Their work is recognized for advancing the efficiency and scalability of cooperative multi-agent systems, offering practical solutions for dynamic and uncertain environments. With a growing citation impact, Wei Xia continues to shape the future of intelligent robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1