Yingwei Ma
Papers
1
Total Citations
5
H-Index
1
About
Yingwei Ma is a researcher in robotics and autonomous systems, with a primary focus on multi-robot coordination and map-building in unknown environments. Their most cited work, "Cooperative Multi-robot Map-Building Under Unknown Environment" (2009, 5 citations), introduces a novel approach that combines particle swarm optimization for global optimization with Hilbert curve-based target region detection. This contribution addresses the fundamental challenge of enabling multiple robots to collaboratively construct accurate maps without prior environmental knowledge. Ma's research advances the field of cooperative robotics by providing efficient strategies for exploration and mapping in complex, unstructured settings. While their citation count reflects a specialized niche, the work holds significance for applications in search-and-rescue, planetary exploration, and industrial automation. By integrating optimization algorithms with spatial coverage techniques, Ma has helped lay groundwork for more scalable and robust multi-robot systems. Their contributions continue to inform researchers working on distributed intelligence and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1Cooperative Multi-robot Map-Building Under Unknown Environment5 citations · 2009