Intelligent optimization method and system for multi-robot collaborative mapping

A multi-robot, intelligent optimization technology, applied in the direction of instruments, structured data retrieval, special data processing applications, etc., can solve the problems of low mapping efficiency and failure to provide a variety of robot mapping efficiency methods, and achieve computing high efficiency effect

Active Publication Date: 2020-09-01
BEIJING LUOBIDE TECH CO LTD
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

The above two methods are not efficient in mapping, and fail to provide a method for collaborative mapping of multiple robots to improve the efficiency of mapping

Method used

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  • Intelligent optimization method and system for multi-robot collaborative mapping
  • Intelligent optimization method and system for multi-robot collaborative mapping
  • Intelligent optimization method and system for multi-robot collaborative mapping

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Embodiment Construction

[0038] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0039] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term...

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Abstract

The invention provides an intelligent optimization method and system for multi-robot collaborative mapping. The method comprises the following steps: initializing a system; and establishing an initialglobal map. In a multi-robot intelligent optimization system, each robot detects an environment through a visual sensor, an ultrasonic sensor, an infrared sensor, a laser radar and other devices, target evaluation parameters are set in the motion planning process to construct a path planning method of a multi-robot automatic mapping task, and thus the cooperative mapping process of multiple robots to the environment is achieved. The system comprises a processor, a robot environment detection module, a robot communication interaction module and a memory. By means of the efficient algorithm, multiple robots can be efficiently and rapidly detected in a complex unknown environment to obtain an environment map.

Description

technical field [0001] The invention relates to the technical field of multi-robot collaborative mapping, in particular to an intelligent optimization method and system for multi-robot collaborative mapping. Background technique [0002] Map construction is a basic problem and research hotspot in the field of mobile robot research, and it is also the key to autonomous navigation of mobile robots. In recent years, the problem of map construction based on multi-robot collaboration is gradually gaining more and more attention. Compared with a single robot, the use of multiple robots for collaborative mapping has the advantages of high efficiency, high precision, high robustness, and low cost, so it is more suitable for practical and complex scenarios. [0003] So far, the research on multi-robot collaborative map construction is not mature enough, especially the lack of collaborative mapping methods for complex environments. [0004] Currently, patent application CN2019106356...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/00G06F16/29
CPCG01C21/005G06F16/29
Inventor 霍向吴新开马亚龙
Owner BEIJING LUOBIDE TECH CO LTD
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