Every funding round, launch and paper, as it's reported.
This White Paper gives robotics researchers and engineers an overview of a new large-scale motion capture dataset built to close the data gap limiting humanoid robot learning. It also shows how policies trained on the dataset transfer to a real humanoid robot.
Google DeepMind on 25 September 2025 introduced Gemini Robotics 1.5, a vision-language-action model that reasons in natural language before moving and transfers skills across robot bodies, alongside Gemini Robotics-ER 1.5, an embodied reasoning model opened to developers as a preview in the Gemini API. In its technical report, the pairing of the two cut total subtask failures on long-horizon tasks to 22% from 44.5% when a general Gemini 2.5 Flash model did the planning.