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Robot autonomous walking method based on cloud computing

A robot and cloud computing technology, applied in the direction of instruments, two-dimensional position/channel control, non-electric variable control, etc., can solve the problems of limited map data acquisition, limited knowledge and views, and inability to accurately locate, and achieve high work efficiency. , simple motion control, reduced complexity effects

Inactive Publication Date: 2016-11-30
湖南晖龙集团股份有限公司
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AI Technical Summary

Problems solved by technology

The disadvantage of this system is that it needs to change the environment and has specific requirements for the ground environment, so it has poor practicability and high cost
The disadvantage of this method is that the calculation is complicated, the real-time performance is poor, and the real-time calibration is not accurate.
[0008] 1. Unable to accurately locate, 2. CPU, memory and other hardware facilities have large limitations, 3. Limited map data acquisition, 4. Huge space occupation, 5. Limited knowledge and views, 6. Individual robots are limited by hardware level and battery capacity , cost and other design constraints, its computing resources are often limited

Method used

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Embodiment 1

[0031] The invention provides a method for autonomous walking of a robot based on cloud computing, the specific steps of which are as follows:

[0032] 1) Obtain indoor environment information and build a map: the robot's depth camera scans and shoots the indoor environment, and sends the current indoor environmental data to the cloud. Map construction; described indoor map construction comprises indoor structural layout, the position of indoor object, scene information; Described image space algorithm refers to carry out outline detection by OpenCV, uses sift algorithm to carry out graphic vector extraction again after outline detection is finished, obtains Collect the feature fragments and location information of each sampling point on the surface of the object image, identify the feature fragments and location information and extract the corresponding feature vector set, then combine and store the feature vectors, and construct a map corresponding to the location and the bui...

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Abstract

The invention provides a robot autonomous walking method based on cloud computing. A cloud is used to control walking, and real-time matching correction of a position of a robot is realized. By adopting cloud control and ROS system computing, the autonomous walking and the autonomous map building of the robot are realized. By adopting the method provided by the invention, the autonomous route planning and the map building of the robot are realized. The method has advantages of high working efficiency, low cost, accurate positioning, high practicability and reliability, and less calculation quantity.

Description

technical field [0001] The invention relates to the field of robot walking, in particular to a method for autonomous walking of a robot based on cloud computing. Background technique [0002] With the development of information technology, information technology has been widely applied to people's way of life and work. If there is a more effective use of existing information technology, people have not stopped exploring. The field of robotics is a system integrating computer, machinery, sensing technology, information processing technology, image processing and recognition technology, language recognition and processing technology, control technology and communication technology. Existing operating systems such as Player, MOOS, CARMEN, YARP, Orocos, and Microsoft Robotics Studio cannot meet the needs of practical applications. ROS (RobotOperatingSystem) is an open source robot operating system that can provide functions similar to the operating system, providing hardware a...

Claims

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Application Information

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IPC IPC(8): G05D1/02
CPCG05D1/0246G05D1/0242G05D1/0276
Inventor 李景龙李朝晖
Owner 湖南晖龙集团股份有限公司
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