Translated data: The UMI framework developed by Stanford is a robotic data collection and strategy learning system that directly transfers human operational skills to robots. UMI is particularly suitable for dynamic, precise, dual-handed operations, and tasks with a long-term perspective, enhancing the operational capabilities of robots. Through features such as hardware design, data collection, and multi-platform deployment, UMI reduces the learning costs for robots. The effectiveness of the UMI approach has been demonstrated in real-world applications, providing potential for the widespread use of robotic technology across various fields.