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AI Chatbot Brains Are Going Inside Robot Bodies. What Could Possibly Go Wrong?
AI Chatbot Brains Are Going Inside Robot Bodies. What Could Possibly Go Wrong?
The effort to give robots AI brains is revealing big practical challenges—and bigger ethical concerns
a physical robot arm and a virtual robot. In the virtual setting, ProgPrompt came up with plans the robot could basically execute almost all the time, and these plans succeeded at a much higher rate than any previous training system. Meanwhile the real robot, given
AI Chatbot Brains Are Going Inside Robot Bodies. What Could Possibly Go Wrong?
RT-2: New model translates vision and language into action
RT-2: New model translates vision and language into action
Introducing Robotic Transformer 2 (RT-2), a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control, while retaining web-scale capabilities. This work builds upon Robotic Transformer 1 (RT-1), a model trained on multi-task demonstrations which can learn combinations of tasks and objects seen in the robotic data. RT-2 shows improved generalisation capabilities and semantic and visual understanding, beyond the robotic data it was exposed to. This includes interpreting new commands and responding to user commands by performing rudimentary reasoning, such as reasoning about object categories or high-level descriptions.
RT-2: New model translates vision and language into action