Who doesn't want a robot that can fully handle household chores? This is also a big dream for people's development of robotics technology. Although robotics experts have been able to make robots do impressive things like parkour in the laboratory, they are all carefully planned and carried out in a strictly controlled environment. It's still somewhat reassuring to let robots work independently in your home, especially in households with children and pets. Moreover, the design of houses varies greatly, and the layout of rooms and the placement of items also vary greatly. Among robotics experts, there is a widely recognized viewpoint called the "Moravik paradox": what is difficult for humans is easy for machines; What is easy for humans is difficult for machines. But thanks to artificial intelligence (AI), this situation is changing. Robots began to be able to complete tasks such as folding clothes, cooking, and unloading shopping baskets, which were previously considered almost impossible tasks for robots. According to the latest issue of MIT Technology Review, robotics as a field is at a turning point: robots are leaving laboratories and entering thousands of households. Robot technology is about to usher in its own shining moment. Household robots should not be too expensive. In the past, robots were synonymous with being expensive, and highly complex models can cost hundreds of thousands of dollars, which makes it unaffordable for most households. For example, PR2 is one of the earliest iteration products for household robots, weighing 200 kilograms and selling for $400000. Fortunately, a new generation of cheaper robots is gradually emerging. The Stretch 3, a new home robot developed by American startup Hello Robot, is much more reasonably priced at $24950 and weighs 24.5 kilograms. It has a small mobile base, a joystick hanging from a camera, an adjustable arm, and a fixture with a suction cup at the end, which can be operated through a controller. At the same time, a research team from Stanford University in the United States has established a system called Mobile ALOHA (Low Cost Open Source Hardware Remote Operation), which allows robots to learn how to cook shrimp with just 20 pieces of data (including human demonstrations). The team used ready-made components to build more reasonably priced robots, which cost tens of thousands of dollars, but similar models before often cost hundreds of thousands of dollars. What sets these new robots apart from their predecessors is actually their software, as AI builds a "universal robot brain". Due to the flourishing development of AI, the current focus of technology is shifting from expensive robots to building a "universal robot brain" using neural networks to achieve physical agility. Robotics experts are using deep learning and neural networks to create "brain" systems that can learn from the environment and adjust robot behavior accordingly in applications, rather than traditional meticulous planning and rigorous training. In the summer of 2023, Google launched the Visual Language Action Model RT-2. This model can obtain a general understanding of the world from online text and images used for training, as well as its own interactions, and transform this data into