The Robotics Transformer 2 (RT-2) is a vision-language-action model trained on information on the web that can be translated into actions for the robot.
While a task like picking up the trash sounds simple to humans, it requires an understanding of a series of tasks for a robot to learn. For example, the robot must first be able to recognize what items constitute trash, then know to pick it up and throw it away. Rather than program a robot to do those specific tasks, RT-2 allows the robot to use knowledge from around the web to help it understand how to complete the task, even if it hasn't been explicitly trained on the exact steps.
The new model nearly doubled the robots' performance on previously-unseen scenarios, compared to the earlier version of the model, Google said. The new version can use rudimentary reasoning to respond to user commands, Google
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