Robotics coverage relating to embodied perception.
Google DeepMind has released Gemini Robotics-ER 1.6, an upgraded model that enhances embodied reasoning for robotics. This model improves spatial reasoning, multi-view understanding, and safety compliance, enabling robots to perform complex tasks like instrument reading. It is available via the Gemini API and Google AI Studio, with examples provided in a developer Colab.
Dexterity's research introduces 'Transactable World Models' as a core component for Physical AI, treating world models as operators that reason about physical reality rather than storing data. These models enable robust manipulation by integrating physics, handling uncertainty, and supporting multi-agent coordination with explicit rollback and transaction guarantees. The approach emphasizes interpretability, real-time consistency, and the ability to reason about cause-and-effect relationships in dynamic environments.