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Gemini Robotics ER 2

Source-backed intelligence on the models, software and compute systems giving robots the ability to perceive, reason and act.

Abstract head representing the embodied reasoning of Gemini Robotics ER 2
Developer
Google DeepMind
Status
Preview
Access
API access
First released
Not verified
Systems
Robot systems using VLA or lower-level control
Last verified
2026-08-06

Gemini Robotics ER 2 is Google DeepMind’s embodied-reasoning model for understanding physical spaces, planning multi-step robot tasks and monitoring progress.

What it does

ER 2 acts as a higher-level robot brain. It can interpret multimodal inputs, reason about objects and spaces, plan a sequence of actions and hand motor execution to a lower-level vision-language-action model. Google DeepMind also presents multi-robot coordination, tool use and success tracking as core capabilities.

Current access

The official model page lists ER 2 as a public preview in Google AI Studio and the Gemini API, with a separate private preview in the Gemini Enterprise Agent Platform. API access to reasoning is distinct from access to Gemini Robotics 2’s motor-control model.

Evidence and limits

Google DeepMind publishes evaluation results for spatial reasoning, success detection and safety instruction following. These are first-party benchmarks. Real-world reliability still depends on the connected VLA, robot hardware, sensors, safety controls and deployment environment.

Primary source