Gemini Robotics On-Device
Google DeepMind's local vision-language-action model for dexterous robot control, rapid adaptation and low-latency offline operation.
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Why this model scores 65.4
Generalized physical action and local operation create high consequential autonomy and reduce cloud intervention. Trusted-tester access and limited hardware deployment constrain reach.
News tied to Gemini Robotics On-Device
The model score of 65.4 rates this model's risk profile. The overall Doom Index of 66.8 measures the complete temporally weighted evidence record. These values answer different questions.
Each article's current Doom Index contribution is divided equally among the exact models named on that article. This prevents multi-model evidence from being claimed in full on several model pages. Model risk scores use a bounded temporal offset around their technical profile, but never feed back into the overall index.
Google releases Gemini Robotics On-Device for local physical control
Google DeepMind released Gemini Robotics On-Device, a vision-language-action model that runs locally on robots, adapts to new tasks and can be fine-tuned with demonstrations.
- Full item contribution
- +0.14
- Gemini Robotics On-Device equal share
- +0.14
Model score history
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R4
Doom Score 65.4
Source-backed model availability audit using the model's existing primary or authoritative catalogue evidence. Exact-version evidence chronology replayed under temporal-monthly-pressure-v4.
12 Aug 2026 -
R3
Doom Score 65.4
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-142416 under temporal-monthly-pressure-v4.
12 Aug 2026 -
R2
Doom Score 66.0
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-132112 under fixed-sensitivity-v3.
12 Aug 2026 -
R1
Doom Score 67.7
Initial exact profile for the first Gemini Robotics On-Device model, distinct from version 2.
12 Aug 2026