Robotics· 1999
Monte Carlo Localization: Efficient Position Estimation for Mobile Robots
On the reading lists
- #418 in the Top 500 (2026 edition)
- #27 in Robotics (2026 edition)
Why it matters
Established practical particle-filter localization for mobile robots under uncertainty.
Condensed from the expert lists' notes.
The record
- First released
- 1999 (from OpenAlex)
- Citations
- 1,379 citations, as counted by
Semantic Scholar (non-commercial licence) - Awards
- AAAI Classic Paper
- Named by
- the chatgpt list only
- Score
- 0.373 · computed rank 418 · consensus 0.35, must-read 0, citations percentile 0.337 (1990s · all domains), awards 1, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.