Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-target point autonomous navigation method based on Turtlebot2 robot map building

A technology of autonomous navigation and robotics, applied in the field of navigation, can solve problems such as the inability to realize multi-target point autonomous navigation

Inactive Publication Date: 2019-01-08
WUYI UNIV
View PDF7 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional robots use maps to perform multi-point target navigation tasks. Users can only release a single target to the lower computer at a time, and cannot achieve autonomous navigation of multiple target points.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-target point autonomous navigation method based on Turtlebot2 robot map building

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] refer to figure 1 , a multi-target point autonomous navigation method for building a map based on a Turtlebot2 robot, including the following steps:

[0025] S1. Build a map;

[0026] S2. Obtain multiple target location information;

[0027] S3. Obtain the initial pose of the robot;

[0028] S4, the navigation package in ROS drives the robot to move to any target position;

[0029] S5. The positioning package in ROS obtains the real-time pose of the current robot;

[0030] S6. The robot arrives at the target position, and the initial pose of the robot is updated to the currently reached target position and the current state of the robot;

[0031] S7. Go back to step S4 until the obtained multiple target positions are all reached.

[0032] Among them, the purpose of Turtlebot is to provide a basic development platform for entry-level robot enthusiasts or mobile robot programming developers, so that people can use the software and hardware that comes with Turtlebot t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-target point autonomous navigation method based on Turtlebot2 robot map building. The method is characterized by comprising the following steps: building a map, acquiring information of multiple target locations, acquiring an initial pose of a robot, allowing a navigation packet in an ROS (robot operating system) to drive the robot to move to any target location, allowing a positioning packet in the ROS to acquire the current real-time robot pose, when the robot reaches the target location, updating the initial pose of the robot as a current target location anda current state of the robot, and returning to execute step S4 till the robot reaches all the target locations. By adopting the multi-target point autonomous navigation method based on the Turtlebot2robot map building provided by the invention, the Turtlebot2 robot to be capable of achieving multi-target point autonomous navigation, and improves intelligence of the robot.

Description

technical field [0001] The invention relates to the field of navigation, in particular to a multi-object point autonomous navigation method for building a map based on a Turtlebot2 robot. Background technique [0002] Autonomous mobility is an important research field of robotics. With the complexity of the application environment, human beings have put forward higher requirements for the autonomy and intelligence of mobile robots. In the field of service robots, mobile robots are required to autonomously operate in indoor environments. To complete tasks such as home services, elderly care, and scene monitoring, it is a very important process for mobile robots to achieve completely autonomous environmental observation and map construction through effective autonomous exploration strategies without user intervention. Traditional robots use maps to perform multi-point target navigation tasks. Users can only release a single target to the lower computer at a time, and cannot ac...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01C21/20G01S17/93G01S17/89
CPCG01C21/206G01S17/89G01S17/93
Inventor 黄辉吴正邹安安
Owner WUYI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products