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The SLAM Confidence Trap

Sebastian Sansoni, Santiago Ramón Tosetti Sanz

arXiv:2602.15884Published February 5, 20260 citations
  • cs.RO

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.

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