Mistral AI·· 2026-07-08
Introducing Robostral Navigate
Introducing Robostral Navigate
AI summary
Mistral AI released its first embodied navigation model, Robostral Navigate. The 8B model uses one ordinary RGB camera without LiDAR or depth sensors, achieving 76.6% success in unseen R2R-CE validation environments, 9.7 percentage points above the best single-camera approach and 4.5 points above the best depth- or multi-camera system.
Selection record
Threshold 60Official, first-handFirst 71Second 71
AdmittedSum of both 142 ≥ twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：发布8B具身导航AI模型，含技术细节与评测
- Why it was chosen
- The monocular RGB results and training method on R2R-CE enable comparison with multi-sensor approaches for deploying embodied navigation.
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: Mistral AI · mistral.ai