Lianjun Ou

China Academy of Launch Vehicle Technology

Papers

1

Total Citations

10

H-Index

1

About

Lianjun Ou is a leading researcher in mobile robotics, with a primary focus on intelligent autonomous navigation and path planning. His work addresses one of the most critical challenges in robotics: enabling mobile robots to efficiently and safely traverse complex environments. Ou’s most influential contribution is his comprehensive 2018 review, "A Review of Representation, Model, Algorithm and Constraints for Mobile Robot Path Planning," which has garnered 10 citations. This seminal paper systematically surveys the vast landscape of path planning methods—from classical algorithms to modern AI-driven approaches—offering a structured taxonomy of representations, models, and constraints. By synthesizing decades of research, Ou provides an essential roadmap for both newcomers and seasoned researchers, clarifying how different techniques address real-world obstacles like dynamic obstacles, energy efficiency, and computational limits. His work has become a foundational reference in the field, guiding the development of more robust and adaptive robotic systems. Through this review, Ou has significantly advanced the understanding of how autonomous mobile robots can achieve reliable exploration, cruising, and moving tasks in unpredictable settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A Review of Representation, Model, Algorithm and Constraints for Mobile Robot Path Planning
10 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: China Academy of Launch Vehicle Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago