Google DeepMind Gemini Robotics
https://deepmind.google/technologies/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.
At a glance
- Type
- Robotics foundation model from Google DeepMind
- Tier
- T1
- Created
- 2025-03
- Latest release
- Gemini Robotics 1.5 (2025)
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- not applicable — wrong section
- Funding
- Google DeepMind (Alphabet parent)
Taxonomy
- storage
- weight
- retrieval
- parametric-recall
- persistence
- parametric-permanent
- update
- agent-controlled
- unit
- trajectory
- governance
- opaque
- conflict
- training-time
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
- Vertex AI / Google Cloud Robotics endpoint planned
- 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.
- 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. Acqui-hired by Amazon Aug-2024 (founders + 25% of team to Amazon Robotics); Covariant remains operating as licensee. The first major robotics-FM acquisition.
Related systems
References (1)
- Google Gemini 3 family depends on at runtime — ar-2025. VLA models built on Gemini 2.0 backbone. Reference platform: Apptronik Apollo. The DeepMind line of robotics-F
Referenced by (1)
- Apptronik depends on at runtime — adjacent-infrastructure cell: Google DeepMind Gemini Robotics; Mercedes manufacturing