Priority determination processing method and device suitable for robot scheduling

Abstract

The invention discloses a priority determination processing method and device suitable for robot scheduling. The priority determination processing method suitable for the robot scheduling comprises the following steps of determining priority factors during the robot scheduling, determining a proportion coefficient of each priority factor, determining parameter information of each priority factor of a robot in real time and determining a real-time priority factor of the robot according to the parameter information of each priority factor of the robot and the proportion coefficient of each priority factor. According to the priority determination processing method and device suitable for the robot scheduling, an effective measurement model is provided to effectively measure and optimize the efficiency of the robot in the environment through dynamic learning, so that the technical effects of group efficiency and intelligence of the robot are achieved, and the technical problem that the scheduling efficiency and intelligence of a robot group cannot be realized within a limited time due to the fact that the related processing efficiency of a current scheduling scheme is low is further solved.

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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