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Autonomous walking vacuum cleaner and extended area recognition method

A technology for expanding areas and vacuum cleaners, which is applied in the installation of electrical equipment and other directions, which can solve the problems of unable to generate maps and unable to master autonomous walking vacuum cleaners.

Active Publication Date: 2021-07-13
PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, when the environment in the sweeping area changes rapidly, the self-propelled vacuum cleaner cannot grasp whether the environment in the sweeping area has changed rapidly or whether it has moved to another sweeping area
Therefore, it may not be possible to generate an accurate map with the structure of the above-mentioned self-propelled vacuum cleaner

Method used

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  • Autonomous walking vacuum cleaner and extended area recognition method
  • Autonomous walking vacuum cleaner and extended area recognition method
  • Autonomous walking vacuum cleaner and extended area recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach 1

[0029] Next, use Figure 1 to Figure 3 The configuration of the self-propelled vacuum cleaner in Embodiment 1 will be described.

[0030] figure 1 It is a top view showing the appearance of the self-propelled (vacuum) cleaner in Embodiment 1. figure 2 It is a bottom view showing the appearance of this self-propelled vacuum cleaner. image 3 It is a perspective view showing the appearance of this self-propelled vacuum cleaner. In addition, the self-propelled vacuum cleaner 100 in Embodiment 1 is the cleaning area 180 (refer to Figure 5 ) is a robot-type vacuum cleaner that autonomously walks to suck up the garbage existing in the cleaning area 180 . For example, the self-propelled vacuum cleaner 100 etc. whose planar shape is a Relo triangle are illustrated.

[0031] Such as Figure 1 to Figure 3 As shown, the self-propelled vacuum cleaner 100 of this embodiment is comprised including the main body 120, the drive unit 130, the cleaning unit 140, the suction unit 150, t...

Embodiment approach 2

[0074] Below, use Figure 9 The extended area identification method will be described.

[0075] Figure 9 It is a flowchart showing the extended area identification method in Embodiment 2.

[0076] In addition, in Embodiment 2, the following states are exemplified. First, the user moves the charging stand serving as the reference member 189 to a room on the opposite side across the door 199 . With door 199 closed, self-propelled (vacuum) cleaner 100 is made to clean in the automatic mode. That is, the extended area identification method in the above state will be described.

[0077] Such as Figure 9 As shown, first, the user sets the self-propelled vacuum cleaner 100 to the automatic mode, and starts cleaning (step S501). Thereby, the self-propelled vacuum cleaner 100 cleans the inside of the cleaning area 180 in the automatic mode, and the cleaning is completed.

[0078] After the cleaning is completed, the map generation unit 181 of the self-propelled vacuum cleaner ...

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PUM

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Abstract

A map generation unit (181) that generates a new map based on the position of a reference member provided in the sweeping area as a reference position, and an expansion area determination unit (183) that determines that the new map exceeds the accumulated map when the new map exceeds the accumulated map. There is an extension area; and a notification unit (186) notifies the user that the new map is generated based on the actual result of walking in the automatic mode and it is determined that there is an extension area Extended information for information. Thereby, the self-propelled (vacuum) cleaner which can generate|occur|produce the map which responds to the change of a cleaning area is provided.

Description

technical field [0001] The invention relates to an autonomous walking vacuum cleaner and an extended area recognition method for generating a map based on an actual walking result in an area cleaned by the autonomous walking vacuum cleaner. Background technique [0002] In recent years, self-propelled vacuum cleaners have been disclosed that can create a map of the walking area based on the self-position estimation result during cleaning, and designate the next area to be cleaned based on the map. (For example, refer to Patent Document 1). [0003] The self-propelled vacuum cleaner of Patent Document 1 is configured to first acquire odometry information and information from various sensors such as a camera and an odometry sensor while cleaning. Then, use the acquired information to estimate your relative position based on your movement and positional relationship with the surroundings, and know where you are in the room. Then, based on the acquired positional information, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A47L9/28
CPCA47L9/28
Inventor 前田茂则浅井幸治天野克重中村智典
Owner PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD