Fox, Burgard, Dellaert and Thrun: Monte Carlo localization

What changed

Applied weighted-sample Bayesian position belief to efficient mobile-robot localization.

Scientific scope

The record is the exact four-author 1999 AAAI paper. It does not absorb particle filtering generally, simultaneous localization and mapping, later adaptive-sampling variants or every robot system using Monte Carlo localization.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact four-author 1999 AAAI paper. It does not absorb particle filtering generally, simultaneous localization and mapping, later adaptive-sampling variants or every robot system using Monte Carlo localization.

Contributors

• Dieter Fox · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Wolfram Burgard · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Frank Dellaert · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Sebastian Thrun · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.

• Fox and colleagues Monte Carlo localization paper
• Sebastian Thrun publication bibliography

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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