Brain
Google DeepMind's robotics VLA family. Gemini Robotics builds on Gemini 2.0 with physical actions as an output modality and adds an intermediate reasoning layer for spatial analysis and safety. Gemini Robotics-ER is an embodied-reasoning VLM companion. Gemini Robotics On-Device runs locally, network-independent, and is fine-tunable with 50-100 demonstrations. Gemini Robotics 1.5 introduced 'think before acting'.
Foundation model · Maturity: Research · Closed · Powers 1 robot
Machine-readable surfaces
- Markdown mirror: /brains/gemini-robotics.md
- RSS feed: /brains/gemini-robotics/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/brains/3ccbb952-c7f9-408a-9534-57eb386761a7
- Revision history: /brains/gemini-robotics/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Architecture
VLA built on Gemini 2.0 with physical actions as output modality, plus an intermediate reasoning layer for spatial analysis and safety. Gemini Robotics-ER is the embodied-reasoning VLM companion. Gemini Robotics On-Device runs locally, network-independent, and is fine-tunable with 50-100 demonstrations. Gemini Robotics 1.5 emphasizes a 'think before acting' chain-of-thought style.
Key facts
- DEPLOY maturity rationale
- Most advanced DeepMind VLA; commercializing via Apptronik; not at-scale production. Re-derived as research-to-commercial; recorded here as research given current scale
- Announced
- March 2025
- Apptronik partnership
- Confirmed; Gemini Robotics powers Apptronik Apollo in joint roadmap
- On-Device variant
- First DeepMind VLA available for fine-tuning; 50-100 demonstrations
- Cross-embodiment
- Trusted-tester robots; cross-platform deployment
- Apollo partnership type
- The Apollo (Apptronik) relationship is investment-linked: Google led Apptronik's Series A and the Gemini Robotics partnership formalizes the technology integration. Distinct from Atlas-Gemini, which is a dedicated bidirectional co-development with Boston Dynamics. Apollo also operates inside NVIDIA's Isaac ecosystem; primary-source evidence for GR00T as Apollo's onboard brain at runtime is not yet established, so DEPLOY does not record a GR00T powers relation on Apollo (only the Gemini Robotics powers relation).
- wikidata
- www.wikidata.org/wiki/Q133568202
Developed by (1)
Powers (1)
- ApolloApptronik · humanoid
Common questions
- What is Gemini Robotics?
- Google DeepMind's robotics VLA family. Gemini Robotics builds on Gemini 2.0 with physical actions as an output modality and adds an intermediate reasoning layer for spatial analysis and safety. Gemini Robotics-ER is an embodied-reasoning VLM companion. Gemini Robotics On-Device runs locally, network-independent, and is fine-tunable with 50-100 demonstrations. Gemini Robotics 1.5 introduced 'think before acting'.
- Which robots run on Gemini Robotics?
- 1 robot model on the DEPLOY registry runs on Gemini Robotics: Apollo.
- Who developed Gemini Robotics?
- Gemini Robotics is credited to Google DeepMind on the DEPLOY registry. Each developer attribution is verified via primary sources.
- Is Gemini Robotics open source?
- No. Gemini Robotics is recorded as proprietary on the DEPLOY registry. Model weights and source are not publicly available.
- What type of AI is Gemini Robotics?
- Gemini Robotics is a foundation model, built on a VLA built on Gemini 2.0 with physical actions as output modality, plus an intermediate reasoning layer for spatial analysis and safety. Gemini Robotics-ER is the embodied-reasoning VLM companion. Gemini Robotics On-Device runs locally, network-independent, and is fine-tunable with 50-100 demonstrations. Gemini Robotics 1.5 emphasizes a 'think before acting' chain-of-thought style. architecture on the DEPLOY registry.
- What is Gemini Robotics's maturity stage?
- Gemini Robotics is at the research stage on the DEPLOY maturity ladder. Research stage means active development without commercial deployments on file.
Sources (8)
- Google DeepMind: Gemini Robotics (primary) · https://deepmind.google/models/gemini-robotics
- Google DeepMind Blog · https://deepmind.google/blog/
- https://deepmind.google/blog/gemini-robotics-brings-ai-into-the-physical-world/
- https://deepmind.google/blog/gemini-robotics-on-device-brings-ai-to-local-robotic-devices/
- https://deepmind.google/blog/gemini-robotics-15-brings-ai-agents-into-the-physical-world/
- https://deepmind.google/models/gemini-robotics/
- https://arxiv.org/abs/2503.20020
- https://www.therobotreport.com/google-deepmind-introduces-on-device-gemini-ai-model-robots/
Methodology: Verified · 8 sources (no primary) · last reviewed 2026-06-03
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-06-03
Maturity + lifecycle
Maturity stage: research
Sources by quality tier
- 6
- unclassified
- Unclassified source
- 1
- preprint
- Preprint
- 1
- secondary-trade-publication
- Trade publication
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Gemini Robotics.Canonical ID 3ccbb952-c7f9-408a-9534-57eb386761a7