Big data-based robot path planning data management system

A data management system and path planning technology, applied in the field of robotics, to achieve the effect of improving efficiency and accuracy, improving accuracy, simple structure and operation

Pending Publication Date: 2020-11-13
江苏寰贝智能科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a data management system for robot path planning based on big data to solve existing problems

Method used

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  • Big data-based robot path planning data management system
  • Big data-based robot path planning data management system

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] In an embodiment of the present invention, a data management system for robot path planning based on big data is provided, combining figure 1 and Figure 4 As shown, the system mainly includes a preset map 100 composed of the driving area of ​​the robot 200 and the robot 200 driving in the preset map 100;

[0032] Depend on figure 1 It can be known that there are several waypoints stored in the preset map 100 , and the number of waypoints are distribu...

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Abstract

The invention belongs to the technical field of robots, and discloses a big data-based robot path planning data management system, which comprises a preset map and a robot. A plurality of path pointsare stored in the preset map; the robot comprises a robot body, and an information acquisition module, a calculation module, a control module and a moving module which are mounted on the robot body; the information acquisition module comprises a position information acquisition unit and a path point acquisition unit; and the calculation module comprises a first driving direction calculation unit and a second driving direction calculation unit. In the present invention, based on setting of the information acquisition module and the calculation module, the long path planning from the starting point to the terminal point is converted into the short path planning between the adjacent path points, so that the calculation difficulty and calculation amount of the robot in the real-time path planning process can be effectively reduced, the path planning and moving efficiency and accuracy of the robot are improved, and meanwhile, the planned path is effectively ensured to be the optimal path.

Description

technical field [0001] The invention belongs to the technical field of robots, and in particular relates to a data management system for robot path planning based on big data. Background technique [0002] With the gradual popularization of robots, robots are more and more widely used in various scenarios. Specifically, robots can replace manual operations to perform various functional operations. In actual working scenarios of robots, in order to ensure the accuracy of robot operations, It is necessary to set up road signs and navigation modules, and use the road signs and navigation modules to create a robot visual navigation map. When the robot is working, it plans the navigation path based on the visual navigation map. [0003] The existing robot navigation path planning methods generally use intelligent algorithms, visual graph methods, free space methods, artificial potential field methods, etc. These methods have their own advantages and disadvantages, and are often u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/02
CPCG05D1/0276
Inventor 袁忠权梁剑
Owner 江苏寰贝智能科技有限公司
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