Luhua Deng
Papers
2
Total Citations
14
H-Index
2
About
Luhua Deng is a robotics researcher whose work focuses on improving the reliability and autonomy of mobile robot systems, particularly in obstacle avoidance and localization. Her key research areas include robust algorithm design for sensor-based navigation, with an emphasis on sonar and outdoor environments. Deng’s most cited paper, “A Method for Robustness Improvement of Robot Obstacle Avoidance Algorithm” (2006, 10 citations), addresses a critical challenge in mobile robotics: ensuring that obstacle avoidance algorithms perform reliably despite sensor noise and environmental variability. By analyzing the limitations of existing sonar-based methods, she proposed enhancements that strengthen system robustness, a foundational contribution for real-world robot deployment. Her subsequent work, “Robust localization algorithms for outdoor mobile robot” (2007, 4 citations), extends these principles to outdoor settings, tackling the complexities of GPS-denied or dynamic environments. While her citation counts reflect a focused, early-career impact, Deng’s contributions are notable for their practical orientation—bridging theoretical robustness with sensor-driven applications. Her research remains relevant for students and engineers developing autonomous systems that must operate safely and accurately in unpredictable conditions.
Research Focus
Key Achievements
Top Papers
- 1A Method for Robustness Improvement of Robot Obstacle Avoidance Algorithm10 citations · 2006
- 2Robust localization algorithms for outdoor mobile robot4 citations · 2007