Service robot autonomous navigation method based on raster maps
A service robot, grid map technology, applied in two-dimensional position/channel control and other directions, to achieve the effect of autonomous navigation, accuracy and efficiency improvement
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2014-07-09
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
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Abstract
Description
technical field
[0001] The invention belongs to the technical field of robots and navigation, and relates to an autonomous navigation method for a service robot based on a grid map. Background technique
[0002] Autonomous mobile robot is an important branch in the field of robot research, and it has been widely used in many fields such as military, civilian, and scientific research. In recent years, with the development of computer, sensor and network technology, the focus of research has shifted from fixed manipulators and manipulators in structured environments to autonomous mobile robots in unstructured unknown environments. The traditional methods of modeling the space environment of the manipulator and teaching the movement can no longer meet the new tasks faced by autonomous mobile robots. Autonomous navigation technology is the core of mobile robot research and the key technology to realize autonomous movement, mainly including autonomous positioning, path planning,...
Examples
Embodiment Construction
[0039] The present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, and do not limit it in any way.
[0040] figure 1 It is a flow chart illustrating the main steps of implementing the autonomous navigation method for a service robot based on a grid map according to the present invention. refer to figure 1 , the main process of this method is:
[0041] Step 1: Control the robot to move in the known experimental environment, and create a map according to the environmental information collected by 2D lidar and extracted by features, and obtain the global environmental grid map;
[0042] Step 2: Execute the autonomous positioning module, determine the pose of the robot in the global coordinate system, and set the target point according to the navigation task requirements;
[0043] Step 3: In the global environment...