Motion state and position cognition method for intelligent mobile robot based on rat brain hippocampus cognition mechanism

Abstract

The invention provides a motion state and position cognition method for an intelligent mobile robot based on the rat brain hippocampus cognition mechanism, belongs to the technical field of robot environment cognition and navigation, and is mainly applied to tasks such as environment cognition, map construction and navigation of an intelligent mobile robot. The method specifically comprises the steps: collecting image information through a camera, collecting the angle and direction information of the robot through a gyroscope and an encoder, and transmitting the information to a CPU; proposinga perception speed solving method based on speed cells and visual information, and obtaining the perception speed of the robot; simulating a discharge mechanism of head direction cells through a one-dimensional annularly connected cell model, and inputting the angle information into the head direction cell model, so that the robot obtains a sensing angle in a bionic mode; and then inputting the sensing speed and the sensing angle into a forward coding neural network model of the position cells to drive an excitation activity packet on a position cell plate to move, and obtaining the positionof the robot in the environment.

Description

Technical field: [0001] The invention belongs to the technical field of environment cognition and navigation of an intelligent mobile robot, and in particular relates to a cognitive method of an intelligent mobile robot for its own motion state and environment information based on the cognition mechanism of the hippocampus of the rat brain. Background technique [0002] Intelligent mobile robot refers to the perception of its own state and environmental information through the bionic cognitive mechanism combined with the collection of environmental information and motion information by sensors. It is a robot system that can simulate the powerful goal-oriented navigation ability of creatures in complex space environments, realize autonomous movement, and then complete specific tasks and functions. Position cognition is a basic function of humans and animals, and it is also a basic task and a key issue for intelligent mobile robots. [0003] Physiological studies have shown t...

AI Technical Summary

Problems solved by technology

[0004] Despite the rapid development of artificial intelligence technology in recent years, the research on the position cognition and motion state of intelligent mobile robots in the environment is relatively backward, and the lack of cognitive ability restricts the research and promotion of intelligent mobile robots to a certain extent.

In terms of perception and understanding of the environment, intelligent mobile robots are far inferior to humans or other higher animals, which is mainly due to the lack of sensor performance at this stage and the lack of theoretical research on the robot's cognitive environment.

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