embodied-ai

Mistral AI released Robostral Navigate, an 8B parameter model that enables autonomous robot navigation using only a single RGB camera. The model achieves 76.6% success on R2R-CE validation unseen benchmarks, outperforming multi-sensor approaches by 4.5 percentage points despite using no depth sensors or LiDAR.

Tencent has released HY-Embodied-0.5, a family of foundation models designed specifically for embodied AI and robotic control. The suite includes a 2B-parameter MoT (Mixture-of-Transformers) variant with only 2.2B activated parameters during inference, and a 32B model that claims frontier-level performance comparable to Gemini 3.0 Pro, trained on over 200 billion tokens of embodied-specific data.