Google wants Gemini 4 Argon to be the only AI model robots need

With Gemini 4 Argon, Google is pitching a single model for the full robotics pipeline. It controls robots, builds virtual practice worlds, and grades training videos. But the example prompts reveal just how much human hand-holding the model still needs. A Boston Dynamics Spot robot is supposed to toss soda cans into a step-on trash bin.

Before it touches the real pedal, Gemini 4 Argon builds a virtual copy of the bin, and the robot practices balancing on three legs inside that simulation. Only then does it attempt the task on real hardware. Before it drops the can, two extra AI agents verify that the foot and gripper are positioned correctly. That's how Google demos the abilities of its newest model for robotics tasks.

Argon is designed to better grasp spatial relationships, write control code, and interpret videos in terms of physics. Google sees the model as a general-purpose tool that covers everything from controlling individual robots to recreating published research, and calls it another step toward "physical AGI," a goal it and its AI subsidiary DeepMind have been pursuing…