Cloud robot distributed control system and method based on dynamic Agent

Abstract

The invention provides a cloud robot distributed control system and a method based on a dynamic Agent. The system comprises a knowledge base Agent and a core Agent. The method comprises the steps of building a cloud robot ROS (Read-Only-Storage) node; deploying the knowledge base Agent; receiving a task instruction through a cloud robot, connecting the core Agent to an Internet so as to build reliable communication connection between the core Agent and the knowledge base Agent, and applying to the knowledge base Agent for downloading; receiving a download request through the knowledge base Agent, searching for a corresponding function application, downloading the corresponding function application into an operating system ROS of a local cloud robot, and regarding the corresponding function application as the dynamic Agent; activating the dynamic Agent through the core Agent, executing the task through the core Agent, and returning a task execution result to a user through the core Agent; and after the completion of the task, controlling the dynamic Agent to unload a cloud computing Agent through the core Agent, then unloading the dynamic Agent through the core Agent, and realizing dynamic unloading. According to the cloud robot distributed control system and the method based on the dynamic Agent provided by the invention, the problem that the computing capacity and the functions are limited when the cloud robot executes the complex task is solved, the on-demand loading and the dynamic unloading of the cloud robot functions are realized, and the computing resources and the storage resources of the cloud robot can be saved.

Description

technical field [0001] The invention relates to the field of robot technology and the field of cloud computing technology, in particular to a distributed control system and method for a cloud robot based on a dynamic agent. Background technique [0002] With the continuous development of robot technology, the application field of robots is constantly expanding, but the traditional robot design method is the design method of centralized control, and the hardware and software structure of the robot are designed according to the determined job tasks and functional requirements. Robots have poor scalability and are difficult to cope with uncertain tasks and changing environments; on the other hand, when robots perform tasks such as real-time positioning, map construction, object grabbing, positioning and navigation, the acquisition of large amounts of data and the execution of calculations will bring Come huge storage and computing pressure. With the development of computer sci...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of robot technology, the application field of robots is constantly expanding, but the traditional robot design method is the design method of centralized control, and the hardware and software structure of the robot are designed according to the determined job tasks and functional requirements. Robots have poor scalability and are difficult to cope with uncertain tasks and changing environments; on the other hand, when robots perform tasks such as real-time positioning, map construction, object grabbing, positioning and navigation, the acquisition of large amounts of data and the execution of calculations will bring to huge storage and computing pressure

Images