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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2026
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2602.15884 |
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| _version_ | 1866918343611514880 |
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| author | Sansoni, Sebastian Sanz, Santiago Ramón Tosetti |
| author_facet | Sansoni, Sebastian Sanz, Santiago Ramón Tosetti |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_15884 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The SLAM Confidence Trap Sansoni, Sebastian Sanz, Santiago Ramón Tosetti Robotics 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. |
| title | The SLAM Confidence Trap |
| topic | Robotics |
| url | https://arxiv.org/abs/2602.15884 |