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Gemini 4 Argon Released, from Demo Video to Real-Robot Training

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Alongside the release of the Gemini 4 Argon model, Google DeepMind demonstrated a Video-to-Sim-to-Real robot training pipeline: after watching raw video of a person playing cornhole, the model analyzes the environment, maps spatial coordinates and computes full-body joint motion, automatically generates simulation code, and then transfers the learned behavior to Apptronik's Apollo humanoid robot. DeepMind says that in real-robot testing, Apollo hit the target seven times in a row. This demonstration is an internal test result.

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  1. Google DeepMind uses Gemini 4 Argon to teach Apptronik's Apollo humanoid new skills from video

    Google DeepMind demonstrated a robot training technique alongside the release of Gemini 4 Argon: after watching raw video of a person playing cornhole, the model analyzes the environment, maps spatial coordinates, and computes full-body joint motion, automatically generating simulation code, then transfers the learned behavior to Apptronik's Apollo humanoid robot, which hit seven consecutive shots in real-machine testing.

    Robotics & Automation News ·

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