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.