Same checkpoint drives three robot bodies
Google DeepMind’s Gemini Robotics 2 suite runs one model checkpoint across humanoid and gripper embodiments while publishing task success that falls from 92 percent bulb removal to 32 percent dustpan use. Only the embodied-reasoning model sits in public preview; the action models remain gated and no independent physical replication has appeared.