Xia Yi-min
Papers
3
Total Citations
16
H-Index
2
About
Xia Yi-min is a pioneer in autonomous multi-robot systems, with a primary focus on cooperative perception, self-localization, and sensor fusion for robotic soccer. His foundational work, "A Self-Localition Method with Monocular Vision for Autonomous Soccer Robot" (2006, 10 citations), addressed the critical challenge of enabling individual robots to determine their position without an overall vision system—a core constraint in competitive robotics. He further advanced the field by introducing a novel "Cooperative Map Building of Multi-robot Based on Grey Fusion" (2006, 4 citations), which tackled uncertainty in dynamic environments by applying grey system theory to sensor data, allowing multiple robots to collaboratively construct a shared map. To overcome the limitations of omni-vision systems, which often lack precise distance information, Xia proposed a monocular front vision system for enhanced localization accuracy. His work is notable for bridging theoretical uncertainty modeling with practical, real-time constraints in autonomous robotics, laying groundwork for robust, distributed perception in environments where centralized control is impossible.
Research Focus
Key Achievements
Top Papers
- 1A Self-Localition Method with Monocular Vision for Autonomous Soccer Robot10 citations · 2006
- 2Cooperative Map Building of Multi-robot Based on Grey Fusion4 citations · 2006
- 3A Self-localization Method with Monocular Front Vision for Robot2 citations · 2008