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Gemini 4 Argon scores 87% on a 3D embodied-reasoning benchmark

deepmind.google 16 min read Editor score 6/10

Argon scores 87% on ERQA, which tests reasoning about physical and spatial problems in 3D, and is presented for use across the robotics lifecycle. The benchmark offers a concrete signal of model capability, though the excerpt gives few implementation details.

What: - Gemini 4 Argon is a physical-reasoning model presented for robotics workflows across control, simulation, and research.
How: - It scored 87% on ERQA and used a MuJoCo digital twin to practice Spot's foot-pedal task before acting physically.
Why it matters: - Simulation practice before physical robot actions can support workflows that validate manipulation skills before deployment.

Argon practices a manipulation task in a MuJoCo digital twin before controlling Spot physically. Sketched from the article's own text.

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