Control system based on robot capability model

Abstract

The invention provides a control system based on a robot capability model. The system comprises a device layer used for realizing hardware abstraction and providing a device interface and bottom control for the system; a service layer comprising a service module in a universal calculation process and a movement source language module for realizing a certain movement according to multi-sensor feedback information; a capability layer comprising capability managers responsible for coordination of execution and monitoring of the local capability; and a task layer integrating task managers based onrobot roles and used for completing the task-level programming capability and performing task planning and calling. Users interactively manage, configure and execute capabilities directly through a graphical tool or enable the robot to achieve the target through a task planning automatic planning service of a manufacture execution system. According to the system, abstract capability description can be performed, integration with the enterprise manufacture execution system is realized, robot-oriented symbol-level abstract task planning is accomplished, the robot is combined with a production process and support data, and the change of a current operation mode of an enterprise information system is avoided.

Description

technical field [0001] The invention relates to the technical field of fusion of industrial robots and enterprise manufacturing execution systems, in particular to a control system based on a robot capability model. Background technique [0002] Intelligent manufacturing represents the main development trend of the manufacturing industry in the future, and has attracted widespread attention and attention from all over the world. Robots are important enabling equipment for future intelligent manufacturing, and an important and special carrier for realizing intelligent manufacturing. Intelligent manufacturing with robots as the main body reflects the development requirements of intelligent, digital and networked manufacturing, and can greatly improve production efficiency, improve quality, and reduce costs. Therefore, robotic systems have become one of the research hotspots in the current manufacturing field, attracting the attention of both industry and academia. [0003] O...

AI Technical Summary

Problems solved by technology

The typical industrial robot control needs to be controlled by professional programming tools and monitoring tools based on the detailed parameters and status of the robot and the operating environment. The use of robots lacks functional scalability and versatility.

There is no way for the manufacturing execution system to directly call the robot to complete the task, and there is no way to directly obtain the data status of the collected robot task after execution

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