Xueyuan Wang
Papers
1
Total Citations
60
H-Index
1
About
Dr. Xueyuan Wang has made significant contributions at the intersection of computational intelligence and robotics, with a particular focus on mobile robot path planning in complex, hazardous environments. In their highly influential 2015 work, which has garnered 60 citations, Dr. Wang introduced a modified membrane-inspired algorithm based on particle swarm optimization (mMPSO). This innovative approach synergistically combines membrane computing with particle swarm optimization to tackle the multi-objective challenge of navigating dynamic obstacles. The algorithm’s dynamic double-layer structure represents a notable achievement, enabling more robust and adaptive decision-making for autonomous systems. By addressing the critical need for safe and efficient navigation in dangerous settings, Dr. Wang’s research has provided a foundational framework that continues to inspire advances in swarm intelligence and robotics. Their work stands as a valuable resource for students and researchers exploring bio-inspired optimization methods for real-world autonomous navigation problems.
Research Focus
Key Achievements
Top Papers
- 1