System and method for planning dynamic path of robot based on cloud terminal

Abstract

The invention relates to a system for planning a dynamic path of a robot based on a cloud terminal, and the system employs a method which comprises the steps: building preset maps at a robot side, anduploading the preset maps to a server side; marking barrier points of the preset maps at the server side, connecting a passable path, setting a weight value of the passable path at the server side according to a first preset algorithm, carrying out the configuration of the same barrier point on a plurality of preset maps to generate a barrier point path, setting the weight value of the barrier point path according to a second preset algorithm and then connecting the plurality of preset maps to generate a dynamic map, transmitting the dynamic map to the robot side, storing the dynamic map in adatabase of the server side, calculating the optimal dynamic path according to a third preset algorithm and transmitting the optimal dynamic path to the robot for execution. The invention also discloses a method for planning the dynamic path of the robot based on the cloud terminal, and the method can solve a problem of robot dispatching automatic path planning across regions, can achieve the dynamic global planning, and improves the operation efficiency.

Description

technical field [0001] The present invention relates to the field of intelligent control, and more specifically, relates to a cloud-based robot dynamic path planning system and method. Background technique [0002] With the development of society, robots can free people from heavy physical labor and dangerous environments, and can help people do more things. Robots can help us complete dangerous tasks that we can and cannot do. [0003] Service robots work in a highly dynamic and complex environment that coexists with people. Only relying on their own sensors and computing power, they cannot fundamentally solve a series of problems such as poor robot autonomy, low intelligence level, and high cost, which hinders its popularization and application. Moreover, traditional path planning algorithms alone cannot solve multi-discrete area path planning, and real-time dynamic global planning is not possible. For this reason, the present invention provides a cloud-based robot dynami...

AI Technical Summary

Problems solved by technology

[0003] Service robots work in a highly dynamic and complex environment that coexists with people. Only relying on their own sensors and computing power, they cannot fundamentally solve a series of problems such as poor robot autonomy, low intelligence level, and high cost, which hinders its popularization and application.

Moreover, traditional path planning algorithms alone cannot solve multi-discrete area path planning, and real-time dynamic global planning is not possible.

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