While Android users patiently wait for Google’s AirTag competitor, their researchers have been working on an AI-powered PaLM-E robot that is capable of performing various tasks without needing to be retrained for each one. When a command is given, the robot generates a plan of action by analyzing data from its camera, thus eliminating the need for a human to pre-process data.
The PaLM-E robot brain itself can be used to guide other robots, like grabbing a bag of rice ships from the drawer or having one bring a tool to clean up the mess after spilling a drink. Should the latter occur, the robot would find a sponge, pick it up, bring it to the user, and then set the object down. This language model-based robot brain continuously takes in data, such as images, and uses it to create tokens, enabling the robot to understand the sensory information.
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Our largest model,PaLM-E-562B with 562B parameters, in addition to being trained on robotics tasks, is a visual-language generalist with state-of-the-art performance on OK-VQA, and retains generalist language capabilities with increasing scale,” said the researchers.