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The SLAM Confidence Trap

Robotics 2026-02-19 v1
Authors: Sebastian Sansoni , Santiago Ramón Tosetti Sanz
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Abstract

The SLAM community has fallen into a "Confidence Trap" by prioritizing benchmark scores over principled uncertainty estimation. This yields systems that are geometrically accurate but probabilitistically inconsistent and brittle. We advocate for a paradigm shift where the consistent, real-time computation of uncertainty becomes a primary metric of success.

Keywords

ai safety belief revision

Cite

@article{arxiv.2602.15884,
  title  = {The SLAM Confidence Trap},
  author = {Sebastian Sansoni and Santiago Ramón Tosetti Sanz},
  journal= {arXiv preprint arXiv:2602.15884},
  year   = {2026}
}

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R2 v1 2026-07-01T10:40:24.669Z