Tee Wee Chien

Monash University Malaysia

Papers

1

Total Citations

12

H-Index

1

About

Dr. Tee Wee Chien is a robotics researcher whose work focuses on mobile robot navigation in unknown and dynamic environments. His most notable contribution is the development of the Enhanced D* Lite Algorithm, a path-planning approach designed to improve robot autonomy when obstacle locations are both unpredictable and subject to change. This algorithm, detailed in his 2010 paper, addresses a critical challenge in robotics: enabling efficient navigation without prior environmental knowledge. While his most-cited work has garnered 12 citations, its impact lies in advancing practical solutions for real-world exploration and navigation tasks, where robots must adapt to shifting surroundings. Dr. Chien’s research bridges theoretical algorithm design and applied robotics, offering a foundation for further studies in autonomous systems. His work is particularly relevant for students and researchers interested in path planning, sensor integration, and adaptive control in robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Enhanced D<sup>∗</sup> Lite Algorithm for mobile robot navigation
12 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Monash University Malaysia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago