Architecture and Integrated System of Autonomous Intelligent Robot Based on Multi-perception

Abstract

With the gradual expansion of the application field of autonomous intelligent robots, their working environment will also be complex and diverse. The environment perception system of autonomous intelligent robot is responsible for obtaining the internal state and external environment information of the robot, which is the basis of robot decision-making and planning. By installing a variety of sensors on the autonomous intelligent robot, and using the information fusion method to fuse the obtained information, a consistent description of the environment is obtained. The key to the architecture of autonomous intelligent robots is to seek the best compromise between precise reasoning and fast response. With the development of sensor and computer technology, the research on environment perception based on multi-sensor information fusion will be more in-depth and more achievements will appear. Environment perception, motion control and interactive recognition are the core technology modules of robot industry development, among which perception is the precondition of robot motion and interactive recognition. Through visual detection of the target features, the offset of the target relative to the reference position can be obtained, and the working trajectory of the robot can be compensated to solve the problem of accurate target positioning, and a good man-machine interaction channel can be constructed through speech recognition technology. Supported by external sensors, the robot has the ability to perceive the external environment to varying degrees, and has certain ability of environment modeling and decision-making control. Perception system is the most important part of the interaction between intelligent robot and human and external environment. This paper expounds the idea of evolutionary control and applies it to the design of the control structure of autonomous intelligent robots. This structure enables the mobile robot to have good learning and adaptability, fast response speed, good rationality and ability to complete a given task.