Bionic intelligent control method

An intelligent control and bionic technology, applied in the field of bionic intelligent control, can solve problems that have not been seen, have no involvement in biological motor nerve cognition, and integrate unoperated conditioned reflex into the sensorimotor system, etc.

Active Publication Date: 2014-06-25
BEIJING UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, none of the above models involved biomotor neurocognition, and did not incorporate operant conditioning

Method used

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Examples

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Embodiment 1

[0058] Embodiment 1: A robot pigeon with learning ability, imitating Skinner's pigeon experiment.

[0059] Skinner's pigeon experiment is one of the animal experiments designed by Skinner to study and prove the theory of operant conditioning. In this experiment, pigeons were placed in a box and faced red, yellow, and blue buttons. If you peck the red button, the pigeon will get food; if you peck the yellow button, there will be no stimulation; if you peck the blue button, you will be given an electric shock. Skinner found that the number of times the pigeons pecked the three-color buttons was basically equal at the beginning, but after a period of time in the experiment, the number of times the pigeons pecked the red button was significantly more than that of the yellow and blue buttons, thus proving the correctness of the theory of operant conditioning sex. In this embodiment, Skinner's pigeon experiment will be reproduced, so as to prove that the present invention can simu...

Embodiment 2

[0080] Embodiment 2: a machine worm with learning ability.

[0081] Wiener said in "Cybernetics": "A certain form of visual-muscular feedback system is extremely important even in such a low-level animal world as worms." Similar to the control mechanism in the machine, Wiener virtualized a machine worm in "Cybernetics". The robotic worm he conceived has a similar sensory-motor system, although it differs in shape and composition from real worms. This example will reproduce the Wiener robot worm through the negative phototaxis experiment, and the system model proposed by the invention will function as the nervous system of the robot worm.

[0082] Since this embodiment is not bionic in form, the implementation object is set as a wheeled circular robot with a light intensity sensor. The radius of the robot is 5cm, and the walking mechanism adopts a two-wheel differential motion chassis, and wheels w are installed on the left and right sides of the robot. L and w R , is drive...

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Abstract

The invention relates to a bionic intelligent control method. In order to solve the problems that the intelligence level capable of being met by a traditional robot control method is limited, a robot cannot independently adapt to an unknown environment, has difficulty in acquiring the capacity for completing complex tasks from simple experience and cannot complete tasks through self-learning, a biological sensorimotor nervous system is simulated from the bionic perspective, and the operant conditioning mechanism is fused into the design of the sensorimotor system. Biological motion neurocognition is reproduced by copying the sensorimotor system, simulation the biological cognitive mechanism is facilitated, and thus the cognitive level of the robot is improved; the operant conditioning function is added, and thus the feedback closed loop relation of interaction between perception and motion in the sensorimotor system is explained, the system is made to show biologically similar self-learning behaviors, and the intelligence level of the robot is improved.

Description

technical field [0001] The invention relates to intelligent control, in particular to a bionic intelligent control method with operation conditional reflex function and capable of simulating sensorimotor system. technical background [0002] Although robots designed by traditional methods have achieved great success in reducing the burden of human physical labor and reducing human operations in dangerous environments, their limited intelligence limits the further promotion and in-depth application, for example: they cannot adapt to complex, Changeable and unknown environment; can only complete specific tasks, cannot develop new abilities independently, etc. In order to improve the intelligence level of robots and make them approach human cognitive ability eventually, a new idea in the field of artificial intelligence and robotics—cognitive robotics was born. The subject of cognitive robots involves many fields such as neurophysiology, psychology, computer science, brain sci...

Claims

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Application Information

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IPC IPC(8): G06N3/02
Inventor 阮晓钢黄静于乃功魏若岩范青武朱晓庆肖尧
Owner BEIJING UNIV OF TECH
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