Yeting Wang

Papers

1

Total Citations

2

H-Index

1

About

Dr. Yeting Wang is a researcher in mobile robotics, with a primary focus on autonomous navigation and path planning. Their most significant contribution is the development of the compound potential field method (CPFM), a novel approach designed to overcome the inherent limitations of traditional artificial potential field algorithms, particularly the problem of local minima that often traps robots before reaching their goal. This work, detailed in their 2012 paper "Path planning of mobile robot based on compound potential field method," provides a more robust framework for real-time obstacle avoidance and efficient route generation in dynamic environments. While this foundational paper has garnered 2 citations, it represents a targeted solution to a persistent challenge in the field. Dr. Wang’s research is particularly relevant for engineers and computer scientists working on autonomous systems, offering a practical enhancement to one of the most widely used path planning techniques. Their work continues to inform the development of safer and more reliable mobile robot navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Path planning of mobile robot based on compound potential field method
2 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago