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Robot control method and system based on multi-brain region cooperative conditioned reflex model

A technology of conditioned reflex and control method, which is applied in the direction of program control of manipulators, manipulators, manufacturing tools, etc., and can solve the problem of low environmental adaptability

Active Publication Date: 2021-01-29
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0004] In order to solve the above-mentioned problems in the prior art, that is, the problem that the existing robot control method has low adaptability to the environment, the present invention provides a robot control method based on a multi-brain area cooperative conditioned reflex model, the robot control method includes:

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  • Robot control method and system based on multi-brain region cooperative conditioned reflex model

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[0068] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0069] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0070] A kind of robot control method based on multi-brain area cooperative conditioned reflex model of the present invention, this robot control method comprises:

[0071] Step S10, acquiring unconditioned stimuli and conditioned stimuli in the robot environment; the unconditioned ...

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Abstract

The invention belongs to the field of artificial intelligence and robotics, and specifically relates to a robot control method and system based on a multi-brain region cooperative conditioned reflex model, aiming at solving the problem that the existing robot control method has low adaptability to the environment. The method of the present invention includes: coding harmful stimuli of the robot as unconditional stimuli, selecting predictable unconditional stimuli signals in the robot environment as conditioned stimuli; constructing a brain-like computing biological neural network model based on a neuron model, and acquiring the conditioned and unconditioned stimuli Conditioned reflex; obtain the robot behavior category through the brain-like computing biological neural network model; obtain the control instructions corresponding to the behavior category to control the robot. The robot of the present invention can use some predictable unconditional stimulus signals in the environment as conditioned stimuli to form conditioned reflexes without encoding all changeable environmental variables into the robot, which greatly improves the adaptability of the robot to the environment.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and robots, and in particular relates to a robot control method and system based on a multi-brain region cooperative conditioned reflex model. Background technique [0002] As an artificial agent, a robot needs to have quite a few pre-programmed modules mounted on the robot, so that the robot has a certain degree of intelligence, but the environment is changeable, and it is neither realistic nor feasible to encode all the changeable environment variables into the robot. necessary. For animals, conditioned reflex is an important way of learning. Conditioned reflex can enable animals to pre-react to favorable or harmful stimuli that have not yet arrived, and improve the animal's ability to adapt to the environment. Therefore, endowing the robot with the ability of conditioned reflex and improving the robot's environmental adaptability can encode some limited and harmful stimuli to the robot a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B25J9/16
CPCB25J9/1602
Inventor 赵宇轩曾毅乔广
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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