Papers
3
Total Citations
16
H-Index
2
About
Xie Yun is a pioneering researcher in autonomous robotics, with a primary focus on multi-robot systems, cooperative perception, and vision-based localization. His foundational work, "A Self-Localition Method with Monocular Vision for Autonomous Soccer Robot" (2006, 10 citations), addresses a critical challenge in robot soccer: enabling individual robots to determine their position without relying on global vision, a key constraint in fully autonomous systems. This contribution laid groundwork for decentralized robotic decision-making. In "Cooperative Map Building of Multi-robot Based on Grey Fusion" (2006, 4 citations), Xie introduced an innovative approach to handling sensor uncertainty using grey number theory, allowing multiple robots to collaboratively construct environmental maps in unpredictable settings. His earlier survey, "Overview of Autonomous Robot Soccer System" (2004, 2 citations), provides a comprehensive synthesis of the field’s early evolution, covering system architecture, machine learning, path planning, and multi-sensor fusion. Though his citation counts are modest, Xie’s work is notable for its technical depth and foresight in addressing uncertainty and autonomy in distributed robotic systems—themes that remain central to modern multi-agent robotics.
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
- 3Overview of Autonomous Robot Soccer System2 citations · 2004