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Cluster robot scheduling method, device, system and equipment and computer readable storage medium

A scheduling method and robot technology, applied in the field of robotics, can solve the problems of increasing the invalid driving distance of the robot, increasing operating costs, hardware damage, etc., and achieving the effect of saving task execution time, improving overall health, high timeliness and accuracy

Active Publication Date: 2020-04-28
JUXING TECH SHENZHEN CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, as the number of orders in the warehouse increases, more and more robots are needed. How to "evenly" distribute orders to robots has become a difficult problem, because the points for performing tasks are scattered in various areas of the warehouse, and Robots are also scattered in different areas of the warehouse. At the same time, the situation of each robot is different. Therefore, how to reasonably allocate all tasks to each robot has become an urgent problem to be solved.
[0004] At present, the more common method is to allocate according to the order of the currently idle robots, and to consider less about the other states of the robots, which may lead to unreasonable task allocation and increase the invalid driving distance of the robot, thus affecting the execution efficiency of tasks. At the same time, there may be The driving distance of some robots is much greater than that of other robots, which may cause adverse effects such as hardware damage and increased operating costs

Method used

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  • Cluster robot scheduling method, device, system and equipment and computer readable storage medium
  • Cluster robot scheduling method, device, system and equipment and computer readable storage medium
  • Cluster robot scheduling method, device, system and equipment and computer readable storage medium

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Experimental program
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Embodiment 1

[0047] Such as figure 1 Shown is the first flow chart of the swarm robot scheduling method provided by the embodiment of the present invention. This embodiment proposes a cluster robot scheduling method, the method comprising:

[0048] S1. Receive and decompose the tasks issued by the server to obtain execution requirements;

[0049] S2. Each robot obtains its own static attributes and dynamic attributes, and inputs the static attributes, the dynamic attributes, and the execution requirements into its own evaluation model, and obtains the evaluation scores of the ability of each robot to perform the task ;

[0050] S3. Upload the ability evaluation score to the server, and receive a task allocation instruction generated by the server according to the ability evaluation score.

[0051] In this embodiment, firstly, tasks delivered by the server are received and decomposed to obtain execution requirements. Wherein, the server includes a central control system of the robot, or...

Embodiment 2

[0071] Figure 4 Shown is a structural block diagram of the swarm robot scheduling device provided by the embodiment of the present invention. The present invention also proposes a cluster robot scheduling device, which includes:

[0072] A task decomposition unit 10, configured to receive and decompose tasks issued by the server to obtain execution requirements;

[0073] The task scoring unit 20 is used to obtain the static attributes and dynamic attributes of each robot itself, and input the static attributes, the dynamic attributes, and the execution requirements to its own evaluation model, and obtain the tasks performed by each robot. ability assessment scores;

[0074] The task receiving unit 30 is configured to upload the ability evaluation score to the server, and receive a task allocation instruction generated by the server according to the ability evaluation score.

[0075] It should be noted that the above-mentioned device embodiment and method embodiment belong ...

Embodiment 3

[0078] Figure 5 Shown is the architecture diagram of the swarm robot scheduling system provided by the embodiment of the present invention. The present invention also proposes a cluster robot scheduling system, which includes:

[0079] The robot 40 is used to receive and decompose the tasks issued by the robot central control server 50, obtain execution requirements, and obtain its own static attributes and dynamic attributes, and input the static attributes and the dynamic attributes to its own evaluation model. Attributes, and the execution requirements, to obtain the assessment score of the ability to perform the task itself;

[0080] The robot central control server 50 is configured to receive the ability assessment score uploaded by the robot 40, generate and issue task allocation instructions according to the ability assessment score.

[0081] It should be noted that the above-mentioned system embodiment and method embodiment belong to the same concept, and its specif...

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Abstract

The invention discloses a cluster robot scheduling method, device, system and equipment and a computer readable storage medium. The method comprises the steps: receiving and decomposing a task issuedby a server, and obtaining an execution demand; then, each robot obtains a static attribute and a dynamic attribute of the robot, and inputs the static attribute, the dynamic attribute and the execution demand to an evaluation model of the robot to obtain a capability evaluation score of each robot for executing the task; and uploading the capability evaluation score to the server, and receiving atask allocation instruction generated by the server according to the capability evaluation score. According to the invention, a cluster robot scheduling scheme with high timeliness and accuracy is realized, task scheduling is more reasonable, task execution time is saved, and the overall health degree of the robot is improved.

Description

technical field [0001] The present invention relates to the technical field of robots, in particular to a scheduling method, device, system, equipment and computer-readable storage medium for cluster robots. Background technique [0002] In the existing technology, with the continuous development of e-commerce business, manufacturers have higher and higher requirements for the timeliness and accuracy of warehouse picking. In order to further improve the timeliness and accuracy of warehouse picking, many manufacturers have begun to provide AMR (Automatic Mobile Robot, autonomous mobile robot) for assistance. AMR can receive the picking task of WMS (Warehouse Management System, Warehouse Management System), and then autonomously move to the front of the picking storage location, display the task information, and the picker performs corresponding operations according to the interface prompts to complete the task. When the robot completes the task, it will move to the next posi...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08B25J11/00
CPCG06Q10/047G06Q10/0631G06Q10/087B25J11/008
Inventor 郑晓琨王翔宇
Owner JUXING TECH SHENZHEN CO LTD
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