Task scheduling method and device for cloud robot, equipment and storage medium

Abstract

The invention discloses a task scheduling method for a cloud robot, and the method comprises the steps: firstly calling a preset random coding function to carry out the random coding of a target feature attribute of the cloud robot corresponding to a target scheduling task, and obtaining a plurality of different initial feature codes; calling a preset genetic algorithm, and determining a target feature code with the highest fitness with the target scheduling task according to the initial feature code; and determining corresponding target feature attribute information according to the target feature code, and scheduling a corresponding target robot according to the target feature attribute information. According to the method, the consumption of human resources is reduced, the task scheduling efficiency is improved, the influence of personal subjective factors of workers can be effectively avoided, and the optimization of the formulated task scheduling scheme of the cloud robot is improved. The invention further discloses a task scheduling device and equipment of the cloud robot and a computer readable storage medium, which all have the above beneficial effects.

Description

Technical field [0001] The present invention relates to the field of cloud robots, in particular to a task scheduling method, device, equipment and computer-readable storage medium of cloud robots. Background technique [0002] With the gradual maturity of cloud technology, clustered cloud robots have gradually emerged in the industrial and civil fields. Due to the cloud-based nature of cloud robots, tasks can be scheduled uniformly through the management platform. When several cloud robots cooperate to complete a task, there can be different scheduling schemes due to factors such as location and robot attributes. In the prior art, generally workers create task scheduling schemes through personal intuitive experience. However, due to the complex reality of the task, the prior art method not only consumes a lot of human resources, and the efficiency of task scheduling is low, but also the task scheduling scheme is easily affected by personal subjective factors, which leads to er...

AI Technical Summary

Problems solved by technology

However, due to the complexity of the actual situation corresponding to the task, the methods in the prior art not only need to consume a large amount of human resources, but the efficiency of task scheduling is low, and the task scheduling scheme is easily affected by personal subjective factors, resulting in errors in the task scheduling scheme or task scheduling The plan is not optimized enough

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