
Google DeepMind
· 1 min read
Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration
Jul 30, 2026
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Gemini Robotics ER 2 represents a step change in powering robots with video understanding, task orchestration, and multi-robot collaboration — making it possible for robots to be more helpful in the physical world.
Steven Hansen
Senior Staff Software Engineer
Peng Xu
Staff Software Engineer
For robots to assist humans in everyday environments, accurate spatial reasoning is not enough. Robots must also think fast, timing their decisions and reasoning with the real-time speed of the physical world.
That’s why today we’re launching Gemini Robotics ER 2, our most capable “embodied reasoning” model for robotics. Think of Gemini Robotics ER 2 as a high-level brain for robots. It allows robots to chat with humans, understand the physical world, and plan multi-step tasks. It then hands off motor execution to any given lower level vision-language-action (VLA) model. Gemini Robotics ER 2 can also natively call tools like Google Search to find information, or any other user-defined function. The design of Gemini Robotics ER 2 allows the robot to “think” about what comes next while simultaneously performing its actions.
Gemini Robotics ER 2 represents a significant upgrade over Gemini Robotics ER 1.6. By watching continuous video feeds, robots can now track their own progress, adapt if something goes wrong, and know exactly when to move on to the next step. We are also introducing multi-robot collaboration, enabling robots to work together in shared spaces and complete complex workflows a single robot could not do alone.
Gemini Robotics ER 2 is now publicly available to developers via the Gemini API, Google AI Studio, and in private preview on Gemini Enterprise Agent Platform. To help you get started, we’re sharing examples of how to configure the model and prompt it to power more useful physical AI tasks.
Advancing physical agentic capabilities
Gemini Robotics ER 2 powered Boston Dynamic Spot fetches a popcorn snack up on a natural language command.
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