Priority determination processing method and device suitable for robot scheduling

Abstract

The present application discloses a priority determination processing method and device suitable for robot scheduling. The method includes: determining the priority factor when scheduling the robot; determining the proportion coefficient of each priority factor; determining the parameter information of each priority factor of the robot in real time; according to the parameter information of each priority factor of the robot The parameter information and the proportion coefficient of each priority factor determine the real-time priority factor of the robot; an effective measurement model is provided to effectively measure and enable the robot to achieve efficiency in the environment through dynamic learning The purpose of optimization, so as to achieve the technical effect of group efficiency and intelligence of robots, and then solve the low efficiency of the current scheduling plan, and can not achieve the technology of efficient and intelligent scheduling of robot groups within a limited time question.

Description

technical field [0001] The present application relates to the technical field of robot path planning, and in particular, relates to a priority determination processing method and device suitable for robot scheduling. Background technique [0002] In the service robot scheduling system, it involves the consideration of the priority of the robot's mobile tasks. The traditional AGV system scheduling system detects occupancy from several parallel inspection lines in the warehouse, which cannot meet the needs of general service robots with small environmental modifications; [0003] The existing mutual avoidance methods of service robots mainly rely on the sensors of the robot stand-alone itself. From the perspective of safety, the avoidance work under low-speed conditions can still be realized. However, in high-speed environments, the safety distance detected by a single robot alone cannot meet the requirements. [0004] The current service robots only rely on shared locations t...

AI Technical Summary

Problems solved by technology

[0002] In the service robot scheduling system, it involves the consideration of the priority of the robot's mobile tasks. The traditional AGV system scheduling system detects occupancy from several parallel inspection lines in the warehouse, which cannot meet the needs of general service robots with small environmental modifications;

[0003] However, the existing mutual avoidance methods of service robots mainly rely on the sensors of the robot stand-alone itself. From the perspective of safety, the avoidance work under low-speed conditions can still be realized, but in high-speed environments, the safety distance only relying on stand-alone detection cannot meet the requirements.

[0004] The current service robots only rely on shared locations to share their positions and postures on the map. However, from the perspective of efficiency, the current dispatching scheme is inefficient in processing, and it is impossible to achieve efficient and intelligent dispatching of robot groups within a limited time.

[0005] For the problems existing in related technologies, no effective solutions have been proposed yet

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