Traditional robots. A brain like intelligent robot independently developed in China. The above pictures are provided by Zhong Shanlin, assistant researcher of the Institute of Automation, Chinese Academy of Sciences: Shen Yiling, August 17, 2022, Important industries such as national defense and security, education services, etc. At present, the deep integration of robots and artificial intelligence has become an important engine for the intelligent transformation of the economy and society. By borrowing from human mechanisms and behaviors, significantly improving robot performance and completing universal and diverse tasks is a challenge and opportunity for robot research and development. Generally speaking, the goal of robot systems is to complete various tasks, possess learning abilities, and be able to engage in high-quality interactions in specific environments, moving from industry specific to human like. At present, most robot systems start from simulating human behavior or local functions, and carry out structural design and algorithm development for specific tasks, enabling them to replace humans to complete corresponding operations, such as sorting, welding, etc. In the development process of these specialized robot systems, they mainly rely on customized control programs and a large number of precision sensors. Their learning ability for new tasks and adaptability to unknown environments are very limited, and often can only be applied to specific and single tasks. Compared to this type of robot, the dexterity, precision, and adaptability of human operations are superior. At present, robots are unable to truly intervene in the vast amount of work that humans can complete, such as the assembly of electronic products. Brain like intelligent robots start from the source of human thinking and behavior, based on the research of neuroscience on key biological mechanisms that affect human operations, movements, sensory cognition, and decision-making. Through information modeling and robot software and hardware systems, a new type of robot system is established. This new robot system is different from the past in terms of appearance, control, and intelligence, and can achieve multiple new tasks that were previously impossible to complete, leading the revolution in the field of robotics. Compared with ordinary robots, brain like intelligent robots can reduce the gap between robots and humans by introducing mechanisms such as human biological structure, driving methods, control methods, and intelligent decision-making. They are close to humans in abilities such as dexterity, agile movement, and generalized learning. Due to the research and simulation of biological mechanisms, brain like intelligent robots are easier to interact with humans naturally, achieving deep understanding and helping neuroscientists achieve more neuroscience research results. In addition, brain like intelligent robots adopt human like mechanisms and models, which have better interpretability and reliability. They can ensure natural interaction with the environment and significantly reduce the energy consumption of computation and control - the power consumption of the human brain is only about 20 watts, which can be almost negligible compared to the training energy consumption of existing artificial intelligence algorithms. The research and development prospects of interdisciplinary fusion achievements in the field of brain intelligent robots are broad, but they still face many challenges. first