As of: 2026-11-13 13:49 CET. Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/ Canonical page: https://postcutoff.com/m/gemini-robotics-on-device-2/ # Gemini Robotics On-Device 2 Google DeepMind, Gemini Robotics family. Status: preview. Type: robotics model. Released: 2026-07-30. ## How to call it | Provider | Model id | Endpoint | Docs | |---|---|---|---| | Gemini Robotics trusted tester / early-access program (application form) | | | https://deepmind.google/models/gemini-robotics/ https://docs.google.com/forms/d/1sM5GqcVMWv-KmKY3TOMpVtQ-lDFeAftQ-d9xQn92jCE/viewform | ## Pricing - Price not published. - Last checked: 2026-09-29 ## Specs - Input: text, image, video - Output: action - Context window: not published - Max output: not published - Open weights: no - Licence: proprietary ## Where it stands - Newer robotics models in the registry since its release: 6. The 5 newest: - Praxis-1 (2026-09-30) https://postcutoff.com/m/praxis-1/ - Helix 2.5 (2026-09-17) https://postcutoff.com/m/figure-helix-2-5/ - UnifoLM-WLA-1.0 (2026-09-10) https://postcutoff.com/m/unifolm-wla-1-0/ - Skild S1 (Skild Brain) (2026-08-25) https://postcutoff.com/m/skild-s1/ - Generalist GEN-1.5 (2026-08-19) https://postcutoff.com/m/generalist-gen-1-5/ - Before it from Google: Gemini Robotics-ER 1.5 / 1.6 (2025-09-25) https://postcutoff.com/m/gemini-robotics-er-1/ - Closed weights. ## What stands out - Local VLA inference on robot hardware: Lightweight version of the Gemini Robotics VLA optimized to run locally without a network connection. Source: https://deepmind.google/models/gemini-robotics/ - Fast adaptation to new embodiments: Adapts to completely new robot bodies with a few hours of data; typically fewer than 200 examples for a new bi-arm robot (uses motion transfer from Gemini Robotics 1.5). Source: https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/ ## Notes Successor to Gemini Robotics On-Device (June 2025). Trusted-tester / partner access only; parameter count and hardware requirements not published. On-robot VLA for low-latency or offline deployments. Sources: [DeepMind blog](https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/). Model page: https://postcutoff.com/m/gemini-robotics-on-device-2/