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Warehousing robot management method and device based on segmented charging planning

A technology of segmented charging and management method, applied in the field of robotics, to achieve the effect of improving production efficiency, reducing task execution time, and improving charging efficiency

Active Publication Date: 2022-04-08
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, in this method, the "logical transformation" of the value of the remaining power, the distance of the charging pile, etc. mainly relies on empirical inference, which has a certain degree of subjectivity.

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  • Warehousing robot management method and device based on segmented charging planning
  • Warehousing robot management method and device based on segmented charging planning
  • Warehousing robot management method and device based on segmented charging planning

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Embodiment Construction

[0071] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0072] like figure 1 As shown, a storage robot management method based on segmented charging planning provided by the present invention includes the following steps:

[0073] Step 1: Assign tasks and determine the priority of robots: use the task assignment algorithm to assign tasks to all storage robots, and obtain the task sequence of each robot; preferably, the task sequence includes all task points and task sequences for robots to perform tasks; according to the task Sequence, charging planning for...

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Abstract

The invention provides a storage robot management method and device based on segmented charging planning. Based on the method of the invention, after obtaining the task sequence of multiple robots through the task allocation method, the priority of the robots is confirmed; then, according to the priority level, segment the current task sequence of the robot, and plan the segmented task sequence considering charging, update the state information of the robot according to the planning result, and perform path planning for the planned task sequence. The invention is beneficial for reducing the waiting time for charging of multiple robots at the same time and charging at the same time, and improving the charging efficiency of the robots; it is beneficial for reducing the task execution time of the multiple robots and improving the production efficiency. On the basis of ensuring the planning optimization, the invention reduces the planning time cost and is beneficial to improve the operation efficiency of the multi-robot system.

Description

technical field [0001] The present invention relates to the technical field of robots, in particular, to a storage robot management method and device based on segmented charging planning. Background technique [0002] In warehousing scenarios, the efficiency of robots is directly dependent on how long they spend on tasks. Due to the limitation of power, storage robots can only perform limited tasks in a fixed power cycle. Therefore, when the robot is performing a multi-task sequence, charging management issues must be considered. Foreign scholars define the charging management problem of robots mainly to solve the charging time selection of robots, charging pile selection and charging methods. In the past research, foreign scholars mainly studied the charging time selection of the robot, or one of the two sub-problems of the charging pile selection of the robot. In the research of charging methods, foreign scholars have developed a mobile charging station that can charge m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04H02J7/00
CPCG06Q10/047Y02E60/10
Inventor 王景川胥敬文
Owner SHANGHAI JIAO TONG UNIV
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