The MIT Computer Science and Artificial Intelligence Laboratory has demonstrated an innovative method for training home robots by utilizing iPhone scans of users' home environments, uploading the data to a simulated environment for training. This method aims to address the limitations of traditional robot training in adapting to complex home layouts, lighting, and object placement. Through simulated training, robots can practice millions of times in a virtual world without any real-world loss, significantly enhancing their adaptability. The construction of the environmental database not only strengthens the robots' performance in known environments but also prepares them to face...