Method for designing big data cloud drive robot

Abstract

The invention provides a method for designing a big data cloud drive robot. The design thought is thin terminal (namely a robot terminal) plus fat network (namely a cloud platform). The robot terminal is only responsible for execution, and all behaviors of the robot are controlled by the cloud platform. The method mainly includes the steps that 1, an information acquisition module of the robot collects the information of the surrounding physical world and sends the information to the cloud platform through a wireless communication module of the information acquisition module; 2, the cloud platform conducts computing on obstacle distribution diagram construction, object model recognition, the sweeping mode and other tasks through resources in software resources based on data in big data resources according to a big data drive work principle, and a command executed by the robot is generated; 3, the cloud platform sends the command to the terminal through a network module, a decision system of the terminal analyzes the command, and a movement control module, a cleaning module and the like execute actions according to the command; 4, new big data are generated according to the action execution result, the data are sent back to the cloud platform, and the big data resources are updated. By means of the method, the networked and digital robot which is high in intelligence, low in energy consumption, low in cost can be designed.

Description

technical field [0001] The invention relates to the field of information, in particular to a method for designing a cloud robot driven by big data. Background technique [0002] The robot in stand-alone mode is isolated and does not have the ability of self-learning. When the robot is in an unfamiliar and unstructured environment, it cannot analyze and deal with the new environment efficiently. Therefore, in the face of the diversity of human living environments, whether service robots can learn by themselves becomes the key. [0003] The development of wireless network technology enables robots to connect to the network autonomously while moving, which provides convenience for the cooperation between multiple robots. [0004] In 2010, at the IEEE Humanoids Robot Conference, Dr. James Kuffner of Carnegie Mellon University (now Google) first proposed the concept of Cloud Robotics. The definition of cloud robot has not been unified, but the following description can better r...

AI Technical Summary

Problems solved by technology

[0005] The present invention proposes a method for designing a cloud robot driven by big data, which solves the problems in the prior art such as low robot intelligence, difficulty in building obstacle distribution maps, and difficulty in updating robot functions.

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