Gemini 4 Argon for Robotics
Google says Argon scores 87% on its embodied reasoning benchmark and can drive robotics work from control to simulation to self-improvement.
The post shows Argon handling examples such as Spot trash-bin disposal, zero-shot arm control, and closed-loop steering inside a video world model. It also describes Real2Sim workflows from robot footage, human egocentric video, and hand sketches into MuJoCo or mujoco_warp simulations. Google says Argon can label manipulation data, estimate task progress, generate simulation training data, and reproduce robotics papers as browser labs. Access is listed through AI Studio, the Gemini API, and Google Antigravity. Google DeepMind's note
The post shows Argon handling examples such as Spot trash-bin disposal, zero-shot arm control, and closed-loop steering inside a video world model. It also describes Real2Sim workflows from robot footage, human egocentric video, and hand sketches into MuJoCo or mujoco_warp simulations. Google says Argon can label manipulation data, estimate task progress, generate simulation training data, and reproduce robotics papers as browser labs. Access is listed through AI Studio, the Gemini API, and Google Antigravity. Google DeepMind's note
score 8