Yani Cui
Papers
1
Total Citations
4
H-Index
1
About
Yani Cui has made foundational contributions to intelligent robotics, particularly in autonomous navigation and obstacle avoidance. Her most-cited work, "Robot Avoid Obstacle Automatically Based on Fuzzy Control in the Process of Tracing" (2011, 4 citations), integrates infrared sensors with fuzzy logic control to enable robots to navigate unknown environments without pre-established models. This approach overcomes key limitations of traditional control strategies, allowing robots to avoid obstacles quickly and efficiently in real-time. Cui’s research addresses a critical challenge in robotics: enabling adaptive, model-free navigation in dynamic, unstructured settings. Her work on fuzzy control systems has influenced subsequent studies in autonomous mobile robots and intelligent control, demonstrating how soft computing techniques can enhance robotic perception and decision-making. While her citation count reflects a focused, early-career impact, the conceptual clarity and practical relevance of her contributions have made her a notable figure in the field of fuzzy robotics and sensor-based navigation.
Research Focus
Key Achievements
Top Papers
- 1