Cleaning Robot Map Segmentation for Intuitive Position Recognition
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Solution Overview
Problem
Conventional cleaning robots face difficulties in intuitively displaying the structure of a house and the position of the robot, making it hard for users to recognize the robot's location and adapt to changes in obstacle positions, requiring manual operation and optical signals for precise positioning.
Innovation Solution
A cleaning robot equipped with sensors to analyze the map structure, detect region segmentation points, and generate a simplified map image by combining preset figures, allowing users to easily recognize the robot's position and control its movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the cleaning robot displays the whole structure in a house through correction to a map including obstacle information, then the user can recognize the structure of the house, but the user has difficulty in intuitively recognizing the structure of the house and the position of the cleaning robot
Solution Approach 1:
The patent divides the house map into multiple segments representing different rooms or areas. Each segment is displayed separately with simplified geometry, making it easier for users to intuitively recognize the structure and robot position while maintaining complete spatial information across all segments.
Solution Approach 2:
The patent creates a simplified visual copy of the actual house layout by generating geometric representations of rooms and spaces. This simplified map copy preserves the essential spatial relationships and structure while being much more intuitive for user recognition than raw sensor data or corrected maps.
2Ease of manufacture
If the user sets and displays a map of the house at the cleaning robot in advance, then the map structure is available, but there is difficulty in displaying a current position of the cleaning robot and adapting a change in position of an obstacle
Solution Approach 1:
The patent implements dynamic updating of the segmented map display to show the current position of the cleaning robot in real-time. The robot's location is continuously tracked and visually indicated on the segmented map, allowing the system to adapt to changing positions while maintaining the simplified structure.
Solution Approach 2:
The system provides visual feedback by displaying the robot's current position and status on the segmented map. This feedback mechanism allows users to intuitively understand where the robot is located and what it is doing, while the system automatically adapts to obstacle position changes through continuous sensor input.
3Measurement precision
If the user personally checks a position of the cleaning robot and moves the cleaning robot to the particular position using a remote controller, then the robot can be positioned, but the user is put to an inconvenience of personally operating movements of the cleaning robot
Solution Approach 1:
The patent enables the cleaning robot to autonomously navigate to user-selected positions on the segmented map without requiring manual remote control operation. The user simply selects the target location on the intuitive segmented map display, and the robot independently plans and executes the navigation, eliminating the inconvenience of manual operation while maintaining precise positioning.
4Measurement precision
If the cleaning robot is moved to the particular position using a dragging function, then the robot can be positioned, but it is necessary to output an optical signal that the cleaning robot follows until the cleaning robot is moved to the particular position
Solution Approach 1:
The patent replaces the optical signal following mechanism with intelligent navigation based on the segmented map. Instead of using optical signals to guide the robot, the system uses the structured map data to enable the robot to autonomously calculate and execute navigation paths to user-selected positions, eliminating the need for complex optical signal systems while maintaining precise positioning.
Data Source
AI summary
A cleaning robot is provided. The cleaning robot includes a sensor configured to sense obstacle information, and a controller configured to generate a map based on sensed values obtained by the sensor, analyze a structure of the generated map by detecting a region segmentation point from the map, and generate a map image based on an analysis result.