Google DeepMind Introduces Gemini Robotics to Bridge AI and the Physical World

Google DeepMind has launched the Gemini family of robotics models, engineered to help robots better understand and interact with the physical world. Built on the same foundation as Gemini 1.5, the models leverage a combination of language and vision to enable more intelligent and context-aware robot behavior.

The system can be prompted using natural language to carry out complex physical tasks, like moving specific objects or planning multi-step actions. To support this, the team developed a new robotics transformer architecture and trained it on a massive, diverse dataset of real-world robotic data from various hardware platforms.

These capabilities allow the model to generalize to new tasks and new environments — a critical step toward versatile, helpful robots that can assist across homes, workplaces, and more.

🌀 Remix Reality Take:

Gemini Robotics is a major milestone in closing the loop between AI reasoning and embodied action. This isn't just about smarter robots — it's about giving machines the context and capability to operate meaningfully in shared spaces.

Source: Google Blog