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American researchers have developed a new approach that uses language models to help robots understand and execute vague instructions accurately, aiming to facilitate household and industrial tasks. The system, called "Imitation Reinforcement Learning," reduces the need for large amounts of data and automatically determines task details, enhancing the speed and accuracy of robots' responses to unclear instructions.
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