06/13/2024, 02:36 PM UTC
大型语言模型能否助力机器人导航？Can Large Language Models Help Robots To Navigate?
1、麻省理工学院和MIT-IBM沃森人工智能实验室的研究人员开发了一种新的机器人导航方法，将视觉输入转换为文本描述。2、该方法利用大型语言模型处理这些描述，引导机器人完成多步骤任务。3、基于语言的方法具有高效合成数据生成和跨不同任务的通用性等优势，尽管它并不优于基于视觉的方法。1. Researchers from MIT and MIT-IBM Watson AI Lab have developed a new navigation method for robots that translates visual inputs into text descriptions. 2. This method uses a large language model to process these descriptions and guide the robot through multistep tasks. 3. The language-based approach offers advantages such as efficient synthetic data generation and versatility across different tasks, though it does not outperform vision-based methods.
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