Gemini Robotics
A Gemini 2.0-based vision-language-action model that converts instructions and perception into robot motor actions across embodiments.
0 comments · 0 votes
Sign in to join the discussion →
No comments yet. Start the discussion.
Why this model scores 62.7
Direct dexterous action and generalization across robots drive high capability and autonomy. Select-partner access limits deployment, while physical action raises misuse and control difficulty.
News tied to Gemini Robotics
The model score of 62.7 rates this model's risk profile. The overall Doom Index of 67.9 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 introduces Gemini Robotics and Robotics-ER
Google DeepMind introduced a vision-language-action model that directly controls robots and an embodied-reasoning model for spatial understanding, planning and task execution across robot types.
- Full item contribution
- +0.16
- Gemini Robotics equal share
- +0.08
Model score history
-
R4
Doom Score 62.7
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 62.7
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-142416 under temporal-monthly-pressure-v4.
12 Aug 2026 -
R2
Doom Score 63.3
Exact-version evidence chronology replayed after run doombench-hourly-news-20260812-132112 under fixed-sensitivity-v3.
12 Aug 2026 -
R1
Doom Score 65.1
Initial exact profile for the March 2025 first-generation robotics model.
12 Aug 2026