On July 8, Mistral announced Robostral Navigate - its first model for spatial robot navigation. The news is something else. The expensive half of the hardware bill disappears: the laser rangefinder and the depth sensors.
- An 8-billion-parameter model that navigates a robot with just a single ordinary RGB camera, no laser rangefinder and no depth sensors.
- Trained entirely in simulation: about 400,000 trajectories across 6000 scenes, never once with a real robot in a real room.
- According to Mistral: 79.4% success in familiar scenes and 76.6% in unfamiliar ones. No price or license announced, access goes through talking with the team.
Robostral Navigate tells a robot where to go by looking through a single ordinary camera. No laser rangefinder. No depth sensors. No several cameras at once. The robot orients itself roughly the way we do - with eyes and experience.
What actually works shows up in what you choose to remove, not in how many points you beat the leaderboard by. The laser rangefinder and depth sensors often cost as much as the entire chassis - they're the expensive half of any mobile robot. If around eighty percent success holds up with one cheap camera outside the test zone, the threshold for who can build robots drops sharply. That math interests me more than the percentage.
From here it's waiting. The model was trained only in simulation and isn't yet available outside partnership - the door isn't open to everyone. For now it's a promise of cheap navigation, not a machine you order tomorrow. I'll check how it behaves outside simulation when I can. Worth following for another reason too: this is the first serious move into robotics from a European player known until now only for language models.