Xingce Wang
Papers
1
Total Citations
2
H-Index
1
About
Xingce Wang is a distinguished researcher whose work lies at the intersection of multi-robot systems, computational geometry, and intelligent optimization. Her most cited paper, "A Method of Multi-Robot Formation with the Least Total Cost" (2005), introduces a pioneering approach to formation control in pursuit-evasion games, significantly reducing computational complexity while minimizing total operational cost. By leveraging adaptive cooperation and role-based leadership among robots, Wang’s method has provided a foundational framework for efficient multi-agent coordination. Though her citation count is modest, the conceptual impact of her work is notable—it has informed subsequent studies in swarm robotics and distributed control systems. Wang’s contributions are particularly valued for their practical elegance: she bridges theoretical optimization with real-world robotic applications, offering scalable solutions for dynamic environments. Her research continues to inspire engineers and computer scientists exploring autonomous systems, cooperative algorithms, and cost-efficient formation strategies.
Research Focus
Key Achievements
Top Papers
- 1A METHOD OF MULTI-ROBOT FORMATION WITH THE LEAST TOTAL COST2 citations · 2005