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Robot movement locus obtaining system and method based on neural network

A neural network and motion trajectory technology, applied in the direction of instruments, manipulators, artificial life, etc., can solve problems such as inconsistent efficiency, operational errors, and reduce industrial production efficiency, and achieve the effect of intelligence

Active Publication Date: 2018-08-28
NANJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Because people are prone to inconsistencies in efficiency, fatigue, and operational errors when working, passively stopping work greatly reduces the efficiency of industrial production

Method used

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  • Robot movement locus obtaining system and method based on neural network
  • Robot movement locus obtaining system and method based on neural network
  • Robot movement locus obtaining system and method based on neural network

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0040] figure 1 It is a schematic diagram of a neural network-based robot motion trajectory acquisition system of the present invention. The present invention proposes a neural network-based robot action prediction system, including several robots and an algorithm controller 4, characterized in that the robot is provided with a driving motor 1, a mechanical arm 2, a robot finger 3, a camera 5, and a robot finger 3 It is arranged on the mechanical arm 2, the camera 5 is arranged on the side of the robot finger 3, the output end of the driving motor 1 is connected with the input end of the mechanical arm 2 and the input end of the robot finger 3 respectively, and the input end of the algorithm co...

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Abstract

The invention discloses a robot movement locus obtaining system based on a neural network. The system comprises multiple robots and an algorithmic controller and is characterized in that a drive motor, a mechanical arm, robot fingers and a camera are arranged on each robot, the robot fingers are arranged on the mechanical arms, the cameras are arranged on the side portions of the robot fingers, the output ends of the drive motors are connected with the input ends of the mechanical arms and the input ends of the robot fingers, the input end of the algorithmic controller is connected with the output ends of the cameras, and the output end of the algorithmic controller is connected with the input ends of the drive motors, the input ends of the mechanical arms, and the input ends of the robotfingers. Through construction of an optimal model based on the improvement bird flock algorithm, robot movement simulation of manual movement locus optimal path and control data obtaining are achieved.

Description

technical field [0001] The invention relates to a neural network-based robot motion trajectory acquisition system and method, and belongs to the technical field of robot applications. Background technique [0002] Artificial Neural Network (ANN), referred to as Neural Network (NN), is based on the basic principles of neural networks in biology. After understanding and abstracting the structure of the human brain and the response mechanism to external stimuli, it takes network topology knowledge as the theoretical basis , a mathematical model that simulates the processing mechanism of complex information by the nervous system of the human brain. The model is characterized by parallel distributed processing capabilities, high fault tolerance, intelligence, and self-learning capabilities. It combines information processing and storage, with its unique knowledge representation and intelligent adaptive learning capabilities. attention in various subject areas. It is actually a ...

Claims

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Application Information

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IPC IPC(8): B25J9/16G06N3/00
CPCG06N3/006B25J9/1664
Inventor 周超亚德陈闯陈修翔
Owner NANJING UNIV OF TECH
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