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Last updated
Jan 4, 2025
Knowledge cutoff
2024-10
Input modalities
Output modalities
Capabilities
256,000 tokens
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It runs on wheeled, legged, and flying robots and generalizes across sizes, unlocking delivery, logistics, manufacturing, and hospitality.
Read more: mistral.ai/news/robostral-na…
Link
Robostral Navigate: single-camera AI navigation | Mistral AI
Introducing Robostral…
Trained entirely in simulation: ~400,000 trajectories across 6,000 scenes. A prefix-caching recipe cuts training tokens by 22×, turning months-long runs into days. Online RL (CISPO) pushes success rates higher still.
76.6% success on R2R-CE validation unseen (79.4% on validation seen), the benchmark for following instructions in previously unseen environments. It beats the best single-camera approach by 9.7 points while using far less sensing.
No LiDAR. No depth sensors. No camera rig. Where leading systems lean on depth or multiple cameras, Robostral Navigate works from one ordinary RGB camera, and still comes out ahead.
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