Brain-like robot control and learning system

Abstract

The invention discloses a brain imitation robot control and learning system, which includes an input and output module, an information storage module and a control module, the input and output module saves the collected information into the information storage module, and the control module A behavior pattern is generated by calling the information in the information storage module, and the input and output modules perform tasks according to the behavior pattern; wherein, the control module further includes the following three-layer architecture: a reaction layer, a cognitive layer, and a meta-recognition layer. Knowledge layer, the information storage module is composed of many interrelated information blocks, and each information block is defined recursively; the reaction layer, cognitive layer, and metacognitive layer are respectively connected to the information storage module ;It can enable the robot to start with only a small amount of preset knowledge and predefined behaviors, strengthen its own execution ability through continuous interaction with users, adapt to different application scenarios, and meet the individual needs of different users.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a brain-like robot control and learning system. Background technique [0002] As one of the greatest inventions of mankind in the 20th century, robotics has made great progress in the past 40 years since it came out in the early 1960s. After experiencing birth, growth and maturity, industrial robots have become an indispensable core equipment in the manufacturing industry. As a rising star of the robot family, special robots have the potential to catch up with others due to their wide range of uses. Humanoid robots, agricultural robots, service robots, underwater robots, medical robots, military robots, entertainment robots and other special robots for various purposes have come out one after another. , and is moving towards practical application at a rapid speed. [0003] However, most of the research on robots in the prior art is limited to imitating human act...

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Problems solved by technology

[0003] However, most of the research on robots in the prior art is limited to imitating human action language, body shape, artificial muscles, artificial skin, etc. These robots are generally designed to solve a specific problem, and can only perform corresponding tasks according to preset work scenarios, which require a lot of pre-programming and settings, and lack a unified framework to simulate human cognitive abilities. After buying a robot, if there is no secondary development ability, it will be difficult to teach the robot to handle new tasks, and it will not be able to learn autonomously like a human being and quickly adapt to different environments. The scope of application is greatly limited

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