R2R-CE benchmark
2 published articles
LLMs & ModelsFeatured4 min read
Embodied AI
Mistral's tiny 8B model just made lidar optional for office robots
Mistral AI's Robostral Navigate is an 8B model that uses only one RGB camera to achieve 76.6% on R2R-CE benchmarks, outperforming multi-sensor approaches by 4.5 points. Built with simulated data and a token-efficient prefix-caching method, it generalizes across robot types and adapts to unseen obstacles.
2026-07-17
IoT & SensorsFeatured4 min read
Robotics AI
A compact robot model just beat multi-sensor systems with one camera and no depth sensors
Mistral AI launches Robostral Navigate, a compact 8B model that lets robots navigate complex indoor environments using just one camera. It beats multi-sensor approaches by 4.5 points on the R2R-CE benchmark, runs on wheeled, legged and flying robots, and was trained efficiently with prefix-caching to slash token count 22-fold.
2026-07-08