Resource scheduling method for multiple robots and resource scheduling system thereof

Abstract

The invention discloses a resource scheduling method for multiple robots and a resource scheduling system thereof. The method includes storing a resource scheduling scheme of the multiple robots into a resource scheduling scheme base, providing all resource scheduling scheme options of the multiple robots in the resource scheduling scheme base of the multiple robots, judging whether to receive an operation command of a resource scheduling scheme option of the multiple robots and selected by a user and reading characteristic information of the user, scheduling a resource scheduling scheme corresponding to the characteristic information from the resource scheduling scheme base and executing the corresponding resource scheduling scheme on no judgment. The resource scheduling schemes of the multiple robots are stored in the resource scheduling scheme base in classification mode. Characteristic information of the user is read if the user has no selection, the corresponding resource scheduling scheme is automatically selected according to the characteristic information of the user, and difference scheduling requirements of the user are met.

Description

technical field [0001] The invention relates to the field of multi-robot differential scheduling, in particular to a multi-robot resource scheduling method and resource scheduling system. Background technique [0002] Multi-robot is an emerging research field, which is still in its infancy. With the rapid development of network, automatic control technology and artificial intelligence technology, its research scope and content continue to deepen and expand. In the face of complex and unknown working environments and increasingly heavy tasks, the great application prospects of multi-robot systems in military, aerospace, industrial manufacturing, natural exploration, fire prevention and treatment, and service industries have attracted a large number of scholars. A systematic study of multi-robot systems is carried out. It has the incomparable advantages of a single robot, such as parallelism, flexibility and other superior performance. Since there is information sharing or e...

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Problems solved by technology

There is also information about the competitive application of resource adaptive allocation methods in resource-limited environments, which has a good effect on the optimization of the overall fair service quality of the system, and realizes the adaptive control of resources in real-time systems through real-time feedback, but it is difficult to implement In the process of resource allocation, there are many restrictions on the setting of gain control parameters

At the same time, once this parameter is set, it will not change. However, real-time systems are constantly changing. Therefore, in the case of new applications, this fixed parameter may not be suitable for new environments; in terms of the speed of realizing multi-task fair scheduling, the user The degree of satisfaction with it is not high; when under strong external interference, the system is not strong in coping with uncertain situations

[0007] In particular, the existing multi-robot resource scheduling mainly considers the load balancing of multi-robot resources, but in the actual application of multi-robots, different users have different requirements for multi-robot resource scheduling, some users care more about cost, and some users care more about Speed ​​and some users care more about quality. The multi-robot resource scheduling in the prior art uses the same scheduling method for different users, which cannot meet the differentiated scheduling needs of users.

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