The Sequence AI of the Week #908: You Need to Learn About Gemini Robotics
Google put a walking humanoid inside a single policy, published the reasoning half as an API, and kept the motor half behind a partner gate. The numbers explain why.
The demo carrying this entire release is boring on purpose. You ask Apptronik’s Apollo 2 to put the watering can into the green bin on the bottom shelf. It walks to the table, picks up the can, takes a few steps to the shelves, and places it where you asked.
Nothing in that sentence sounds hard until you remember what the previous Gemini Robotics models actually were. They were a torso bolted to a fixed base doing tabletop work. If there were legs, they belonged to somebody else’s controller.
Walking is not the interesting part. Boston Dynamics solved walking years ago with hand-tuned controllers and a lot of hydraulics. The interesting part is that the walking and the grasping came out of the same policy, conditioned on the same language instruction. Locomotion stopped being a subsystem you call and became part of the action space you predict. That is the real news in Gemini Robotics 2, and it is a bigger deal than the b-roll makes it look.