Google DeepMind Gemini Robotics
https://deepmind.google/models/gemini-robotics/
Google DeepMind's Gemini Robotics + Gemini Robotics-ER (Embodied Reasoning) released Mar-2025. VLA models built on Gemini 2.0 backbone. Reference platform: Apptronik Apollo. The DeepMind line of robotics-FM, descendant of earlier RT-1 / RT-2 / RT-X work.
Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 60 cited facts, 0 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Type
- Robotics foundation model from Google DeepMind vendor fix
- Tier
- T1
- Latest release
- Gemini Robotics 2 (with Gemini Robotics ER 2 and On-Device 2; date not stated on the model page) vendor fix
- License
- not applicable — not OSS fix
- GitHub
- not applicable — no GitHub repo fix
- Pricing
- not applicable — wrong section fix
- Funding
- Google DeepMind (Alphabet parent) vendor fix
- Freshness
- 2026-10-29 fix
- Layer
- large-models repo fix
- Licensing
- commercial vendor fix
When to use
Optimised for: Robotics built on Gemini 2.0 multimodal foundation
Anti-fit: Closed weights; trusted-tester only; Google Cloud lock-in expected
Pros & cons
Pros
Built on Gemini 2.0 (best-in-class multimodal); DeepMind RT-X lineage; Apollo + Agile Robots partners; A2A first-party.
Cons
Closed weights; trusted-tester only; Google Cloud lock-in; no developer-self-serve.
Claims & capabilities
Gemini Robotics + Gemini Robotics-ER Mar-2025; built on Gemini 2.0; reference platform Apptronik Apollo
Technical surface
- API surface
- Gemini Robotics-ER 2 preview in Google AI Studio (gemini-robotics-er-2-preview); VLA models via trusted-tester waitlist
- Backend storage
- Google Cloud
- Deployment
- Trusted-tester via partners; Vertex AI / Cloud planned
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- Per-customer (trusted-tester)
- MCP
- not applicable — wrong section
- A2A
- Google's own A2A protocol — likely first-party
- OpenTelemetry
- not applicable — wrong section
Compare Google DeepMind Gemini Robotics with…
Similar systems
Other robotics foundation models & agent stacks in the catalog, ranked by inbound references.
- Physical Intelligence (π) T1
Founded 2024 by Sergey Levine (UC Berkeley) and Karol Hausman + others (ex-Google Brain Robotics). Building general-purpose robot foundation models (π0 released Oct-2024; π0.5 in 2025) trained on cross-embodiment robot trajectories. Raised $400M Series A (Nov-2024; Jeff Bezos, OpenAI, Thrive, Lux) at $2.4B val. Released π0.7 (2026-04-16) and opened its models through the Pi API beta (2026-10-13).
- 1X Technologies T2
Norway / US humanoid robot company — Eve (wheeled bimanual) + Neo (legged humanoid, consumer-targeted, late 2025 / 2026 launch). Raised $100M Series B (Jan-2024, EQT + OpenAI Startup Fund); $40M Series A (Mar-2023, OpenAI lead). Distinguishing feature: consumer-home positioning rather than industrial.
- Agility Robotics T2
Oregon-based humanoid maker; Digit is in production at GXO Logistics warehouses since Sep-2024 — claimed first humanoid in commercial service in the US. Spinout of Oregon State University. $400M+ raised (Amazon Industrial Innovation Fund participant).
- Apptronik T2
Apollo humanoid maker, spun out of University of Texas Human Centered Robotics Lab. Raised $350M Series A (Feb-2025; B Capital + Capital Factory); Mercedes-Benz manufacturing partner (Mar 2024). Partnered with Google DeepMind on Gemini Robotics (Mar 2025) — Apollo is the headline reference platform for Gemini Robotics.
- Collaborative Robotics T3
Founded 2022 by Brad Porter (ex-Amazon Robotics VP + Scale AI CTO). Stealthier than the humanoid pack; raised $100M Series B Apr-2024 (General Catalyst). Targets warehouse + healthcare collaborative robots.
- Covariant T2
Pieter Abbeel / Peter Chen-founded robotics FM company — built RFM-1 (Robotics Foundation Model, Mar 2024) for warehouse pick-and-place. In Aug 2024 Amazon took a non-exclusive license to its robotic foundation models and hired founders Abbeel, Chen and Rocky Duan plus research staff; Covariant was not acquired and continued serving customers. As of 2026-10-29 covariant.ai is a placeholder page (logo, video and a 2026 copyright line only; no product or contact pages).
Sources (59 cited facts, 0 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Robotics foundation model from Google DeepMind vendor
- What it does & what's distinct Google DeepMind's Gemini Robotics + Gemini Robotics-ER (Embodied Reasoning) released Mar… vendor
- Claims / benefits Gemini Robotics + Gemini Robotics-ER Mar-2025; built on Gemini 2.0; reference platform A… vendor
- Modalities vision + language + action; embodied reasoning vendor
- Created 2025-03 vendor
- Latest release Gemini Robotics 2 (with Gemini Robotics ER 2 and On-Device 2; date not stated on the mod… vendor
- Mindshare Major DeepMind launch Mar-2025; widely-discussed Apollo demos vendor
- Citations Successor to RT-1/RT-2/RT-X (Google) — extensively cited lineage paper
- Funding Google DeepMind (Alphabet parent) vendor
- Customers / scale Trusted partners: Apptronik, Agile Robots; broader trusted-tester program vendor
- Compliance Google Cloud SOC 2 / ISO 27001 vendor
- Data handling Internal DeepMind data; closed weights vendor
- Deployment Trusted-tester via partners; Vertex AI / Cloud planned vendor
- HQ UK / US (DeepMind) vendor
- Founders / pedigree Google DeepMind — Demis Hassabis CEO; robotics led by Carolina Parada vendor
- Memory volume / scale Demo-stage; partner pilot deployments vendor
- Performance Vendor benchmarks: zero-shot manipulation, embodied reasoning vendor
- API surface Gemini Robotics-ER 2 preview in Google AI Studio (gemini-robotics-er-2-preview); VLA mod… vendor
- Backend storage Google Cloud vendor
- Multi-tenancy Per-customer (trusted-tester) vendor
- Encryption Google Cloud encryption stack vendor
- SSO / RBAC via Google Identity vendor
- Versioning Gemini Robotics / Robotics-ER / 1.5 versioning vendor
- Namespace primitives per-customer-tier vendor
- A2A support Google's own A2A protocol — likely first-party vendor
- Validated verticals manipulation, household tasks, embodied reasoning vendor
- Time to running Trusted-tester program — not GA vendor
- Anti-fit Closed weights; trusted-tester only; Google Cloud lock-in expected vendor
- Optimised for Robotics built on Gemini 2.0 multimodal foundation vendor
- Adjacent infrastructure Gemini 2.0; Google Cloud; Apptronik Apollo; Vertex AI vendor
- Pros Built on Gemini 2.0 (best-in-class multimodal); DeepMind RT-X lineage; Apollo + Agile Ro… vendor
- Cons Closed weights; trusted-tester only; Google Cloud lock-in; no developer-self-serve. vendor
- Project & sources deepmind.google/technologies/gemini-robotics vendor
- obs-langsmith no vendor
- obs-opentelemetry no vendor
- obs-datadog no vendor
- obs-helicone no vendor
- obs-weave no vendor
- obs-langfuse no vendor
- obs-arize no vendor
- obs-custom Research / closed-preview product vendor
- cost-token-budget no vendor
- cost-prompt-caching no vendor
- cost-semantic-caching no vendor
- cost-batching no vendor
- cost-model-routing no vendor
- cost-streaming-only no vendor
- cost-observability-cost-attribution no vendor
- eval-langsmith-evals no vendor
- eval-braintrust no vendor
- eval-weights-and-biases-agent no vendor
- eval-helicone-evals no vendor
- eval-custom-test-harness yes vendor
- eval-human-loop no vendor
- eval-production-traffic-replay no vendor
- architecture-deployment-locus hybrid vendor
- licensing-bucket commercial vendor
- positioning-platform-vs-product platform vendor
- taxonomy-three-layer-rollup large-models repo
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
Related systems
References (1)
- Google Gemini 3 family depends on at runtime — adjacent-infrastructure cell: Gemini 2.0; Google Cloud; Apptronik Apollo; Vertex AI
Referenced by (1)
- Apptronik depends on at runtime — adjacent-infrastructure cell: Google DeepMind Gemini Robotics; Mercedes manufacturing