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Google DeepMind's vision-language-action model for whole-body robot control, dexterous manipulation and multi-robot tasks.

Documentation in progress

The product identity and source are confirmed, but some specifications or interface details do not yet have citable manufacturer evidence. Missing evidence is not treated as a negative claim.

Product information

Information below comes from the product website or public documentation. Pricing and availability may change.

Category
Robot Development
Maturityi
Beta / limited access
Deploymenti
Hybrid
Buying / access
Contact the vendor or a partner
Source
Official websiteChecked Sep 19, 2026

Reality check

A demo shows what may be possible. These points help judge whether the product fits day-to-day use.

Works well when
  • Simulation, control, perception and repeatable experiments
  • Teams that can manage dependencies and hardware interfaces
  • Prototyping before committing to a physical deployment
What to check
  • Supported hardware, GPU requirements and version compatibility
  • Documentation, examples and community response
  • How simulation results transfer to the real robot
Not a magic solution
  • A guarantee that simulation equals a production cell
  • A replacement for safety validation on hardware
  • A low-maintenance toolchain without version ownership

About

Gemini Robotics 2 is a vision-language-action model from Google DeepMind that converts vision and language inputs into robot motor control. The official model page demonstrates whole-body humanoid control, dexterous manipulation and multi-robot collaboration. The core VLA model is offered through trusted-tester access rather than general self-service access; Gemini Robotics ER 2 has a separate public developer path.

Tags

Computer VisionLLM-Powered

Scenes

Product details

Manufacturer / team
Google DeepMind
Product typei
Component

The cost iceberg

The purchase price is only one part of an automation project.

GPU, simulation assets and hardware adapters
Dependencies, datasets and test infrastructure
Version pinning, documentation and support
Sim-to-real gaps and safety validation