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Google DeepMind publishes Gemini 4 Argon for robotics

See how this story connects

Source: Google DeepMind

Google DeepMind published a blog post on 13 October 2026 describing Gemini 4 Argon, a general-purpose physical reasoning model for robotics. Using pure reasoning, Argon scores 87% on the Embodied Reasoning (ERQA) benchmark, which the post says is higher than every other frontier model. The post gives example prompts in four areas: robot control, Real2Sim, physical understanding, and research and self-improvement.

Why it matters

Google says Argon can be applied across the entire robotics lifecycle; the post’s examples include Spot mobile manipulation, zero-shot arm control, and building MuJoCo simulation scenes from robot video, human video and hand-drawn sketches.

When
13 Oct 2026
ID
WTA-N-2026-0291
Who
Google DeepMind; Kanishka Rao

Summary by wheresthe.ai, from Google DeepMind. Checked against the source on 13 Oct 2026.

Read the original at Google DeepMind

Source copy: download the page as saved on 18 Oct 2026 (PDF). Also held by the Internet Archive.

Cite this story

WTA-N-2026-0291: “Google DeepMind publishes Gemini 4 Argon for robotics.” wheresthe.ai, 13 Oct 2026. https://wheresthe.ai/d/intl-google-deepmind-publishes-gemini-4-argon-for-robotics-2026-10/ (source: Google DeepMind).

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