Mistral推出机器人导航AI模型Robostral Navigate，8B参数单摄像头引导机器人

Mistral enters robotics with Robostral Navigate, an 8B model that steers robots using just one camera

AI 导读

Mistral发布首个机器人导航AI模型Robostral Navigate，参数量8B，仅需单个RGB摄像头即可引导机器人在复杂环境中移动。该模型在R2R-CE基准上达到79.4%成功率，超越最佳单摄像头方法及使用深度传感或多摄像头的系统。模型内部开发，仅在模拟环境中训练，使用约40万条记录路径和6千个虚拟空间，适用于轮式、足式、飞行机器人。Mistral尚未公布可用性信息。通过强化学习实验，成功率额外提升3.2个百分点，且未见平台期。

正文 · 原文

Mistral has unveiled Robostral Navigate, its first AI model for robot navigation. The 8B model guides robots through complex environments and, according to Mistral, needs only a single RGB camera. Still, it hits up to a 79.4 percent success rate on the R2R-CE benchmark, a standard test for navigation in unknown environments. Mistral says that beats both the best single-camera method and systems using depth sensors or multiple cameras.

The model was built entirely in-house and trained only in simulated environments, using about 400,000 recorded paths across 6,000 different virtual spaces. It works on wheeled, legged, and flying robots. Mistral hasn't shared any details on availability yet.

Mistral sees navigation as the foundation for universal robotics and plans to keep improving the model. Experiments with reinforcement learning already boosted the success rate by 3.2 percentage points, with no sign of a plateau. "We are confident that more training and more experiments will continue to push this number up," the company says.