Gemini 4 Argon for Robotics

Gemini 4 Argon is presented as a general-purpose model for physical reasoning, robotics control, simulation construction, and multimodal analysis, with a reported 87% score on the Embodied Reasoning benchmark. Demonstrations describe it controlling robots through closed-loop visual feedback, including mobile manipulation with a Boston Dynamics Spot robot, zero-shot arm control, and iterative steering of video world models. The model is also shown reconstructing physically calibrated MuJoCo simulations from robot footage, human egocentric video, and hand-drawn sketches, while accounting for geometry, contacts, dynamics, and dexterous hand motion. Additional proposed applications include hindsight labeling of manipulation data, solving visual physics puzzles, estimating task progress, generating simulated training data to improve robot policies, iteratively refining real-hardware execution, and reproducing robotics papers as browser-based MuJoCo labs. Google states that Argon is available to eligible Google AI Ultra subscribers and paid Gemini API users through AI Studio, the Gemini API, and Google Antigravity.

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