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Path planning method and device based on neural network, equipment and medium

A neural network and path planning technology, applied in the field of neural network-based path planning, can solve time-consuming problems and achieve the effects of improving work efficiency, reasonable task allocation, and good time performance

Pending Publication Date: 2021-11-09
CHINA AUTOMOTIVE INNOVATION CORP
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

It solves the problem in the prior art that it takes too long to complete path planning by building a neural network to reach a stable state

Method used

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  • Path planning method and device based on neural network, equipment and medium
  • Path planning method and device based on neural network, equipment and medium
  • Path planning method and device based on neural network, equipment and medium

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Embodiment Construction

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present specification in conjunction with the accompanying drawings in the embodiments of the present specification. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0058]It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other t...

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Abstract

The invention relates to a path planning method and device based on a neural network, equipment and a medium. The method comprises the following steps: acquiring regional information; dividing the region into a plurality of grids with consistent area and shape according to the region information; determining a neural network structure corresponding to the grids according to the plurality of grids, wherein each neuron in the neural network structure is in one-to-one correspondence with each grid position; determining a target point and a plurality of AGVs from the plurality of neurons; constructing a target neural network corresponding to the target point; obtaining a state value of each AGV position according to the target neural network; and when the state values of the target point and each AGV position are not equal to 0, completing construction of the target neural network so as to determine a target AGV and a corresponding path. By changing the termination condition of constructing the neural network, the efficiency of constructing the neural network is improved; and the problem that in the prior art, when a neural network is constructed to reach a stable state to complete path planning, consumed time is too long is solved.

Description

technical field [0001] The present invention relates to the technical field of path planning, in particular to a neural network-based path planning method, device, equipment and medium. Background technique [0002] With the development of science and technology and the gradual maturity of automated logistics technology, AGV (Automated Guided Vehicle) can fully reflect its self-intelligence in the face of complex activity areas, whether it is used in warehousing logistics transportation or in automated production lines. The characteristics of automation and automation, and the transformation from single AGV operation to multi-AGV operation, multi-task assignment and path planning of multi-AGV are the key to whether the multi-AGV system can complete the transportation task safely and efficiently. [0003] Aiming at the problem of unreasonable task allocation and unsmooth path planning results of multi-AGV multi-target points, resulting in many broken lines, the path evaluatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06N3/08
CPCG06Q10/047G06Q10/08355G06N3/08
Inventor 杜宗源
Owner CHINA AUTOMOTIVE INNOVATION CORP
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