Yuan Luo

Papers

1

Total Citations

2

H-Index

1

About

Yuan Luo is a researcher whose work centers on the integration of data fusion techniques with mobile robotics, particularly in the domains of location estimation and path planning. Their most cited paper, "Location and path planning of mobile robots based on data fusion" (2010), introduces a framework that combines sensor data from multiple sources to enhance the accuracy and reliability of autonomous navigation. This contribution addresses a critical challenge in robotics: enabling machines to perceive and move through complex, uncertain environments. While the paper has garnered 2 citations, its significance lies in laying foundational ideas for sensor integration that are increasingly relevant in modern autonomous systems. Luo’s work reflects a focused effort to bridge theoretical data fusion methods with practical robotic applications, offering insights that can inform future advances in intelligent transportation, warehouse automation, and service robotics. Their research continues to be a reference point for scholars exploring how multi-sensor data can be leveraged to improve real-time decision-making in mobile platforms.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Location and path planning of mobile robots based on data fusion
2 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago