#room-to-room in continuous environments

French AI company Mistral claims its latest AI model offers a more efficient way to train and operate robots. The model, Robostral Navigate, can guide a robot through plain language instructions, using a single RGB camera to find its way. Mistral said that this was a radical departure from most other models, which rely on depth sensors, LiDAR or several cameras working together. Robostral Navigate has achieved a score of 76.6% on the R2R-CE (Room-to-Room in Continuous Environments) benchmark for robots following instructions. This beats the best system using depth sensors or multiple cameras by 4.5 percentage-points, despite the Robostral Navigate using neither of these aids, and puts it 9.7 percentage-points ahead of the next-best single-camera robot. Mistral said it had designed the model to autonomously navigate complex environments including offices, residential and commercial buildings, and outdoor settings. A key feature of the new model is that it is easier to train: Mistral sai

French AI company Mistral claims its latest AI model offers a more efficient way to train and operate robots. The model, Robostral Navigate, can guide a robot through plain language instructions, using a single RGB camera to find its way. Mistral said that this was a radical departure from most other models, which rely on depth sensors, LiDAR or several cameras working together. Robostral Navigate has achieved a score of 76.6% on the R2R-CE (Room-to-Room in Continuous Environments) benchmark for robots following instructions. This beats the best system using depth sensors or multiple cameras by 4.5 percentage-points, despite the Robostral Navigate using neither of these aids, and puts it 9.7 percentage-points ahead of the next-best single-camera robot. Mistral said it had designed the model to autonomously navigate complex environments including offices, residential and commercial buildings, and outdoor settings. A key feature of the new model is that it is easier to train: Mistral sai