Papers

5

Total Citations

4,370

H-Index

4

About

Tim Bailey is a leading authority in mobile robotics, best known for his foundational contributions to the field of Simultaneous Localization and Mapping (SLAM). His work has been instrumental in solving the core challenge of enabling a robot to build a map of an unknown environment while simultaneously keeping track of its own location within it. Bailey’s most influential contribution is the seminal two-part tutorial, "Simultaneous Localization and Mapping," with the first part alone accumulating over 4,100 citations, serving as a definitive guide for researchers worldwide. He also advanced the practical implementation of SLAM, notably through his work on "Constrained Initialisation for Bearing-Only SLAM" (111 citations), which addressed the critical problem of initializing landmarks using only directional sensor data. Beyond SLAM, Bailey developed a graph-theoretic approach to data association for mobile robot navigation, a key method for robustly matching observed features to a map. His research has also extended to decentralized sensor networks and behaviour-based control architectures, demonstrating a broad impact on autonomous navigation and multi-robot systems.

Research Focus

Key Achievements

4
H-Index
5
Papers
4,370
Total Citations
874
Avg Citations/Paper
🏆 Most Cited Paper
Simultaneous localization and mapping: part I
4,107 citations · 2006
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Cystic Fibrosis Australia, The University of Sydney, Australian Centre for Robotic Vision

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago