Method and apparatus for constructing map of working region for robot, robot, and medium
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Solution Overview
Problem
Existing robot navigation systems fail to accurately divide and navigate to specific areas within a room, such as a living room, due to random coordinate-based division methods, leading to inefficiencies and user frustration.
Innovation Solution
A method involving scanning obstacles with lidar and cameras to record location parameters and image information, determining reference information, and dividing the working region into subregions based on these data to create an accurate room layout map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If random coordinate-based division method is used, then map construction is simple, but room division accuracy deteriorates
Solution Approach 1:
The patent segments the working region into multiple subregions based on obstacle information and spatial relationships. Instead of treating the entire area as one undifferentiated space, the system divides it into meaningful rooms and zones using walls, furniture, and obstacles as boundaries, enabling precise navigation to specific areas while maintaining systematic organization
Solution Approach 2:
The patent introduces obstacle information as an intermediary element to establish spatial relationships and define room boundaries. By using detected obstacles (walls, furniture, etc.) as reference objects, the system creates meaningful divisions without requiring complex pre-programmed coordinates, thus improving accuracy while keeping the system adaptable
2Adaptability or versatility
If real-time map formation is used, then navigation flexibility is improved, but user control over specific area selection deteriorates
Solution Approach 1:
The patent performs preliminary division of the working region into named subregions (e.g., living room, bedroom) during the mapping phase. This pre-organization allows users to later select specific named areas for cleaning tasks, combining the benefits of real-time adaptability with precise user control over which areas to clean
3Measurement precision
If obstacle scanning and image processing are performed, then division accuracy is improved, but system complexity increases
Solution Approach 1:
The patent uses obstacle detection and image processing components that serve multiple functions: they detect obstacles for navigation safety, extract spatial information for map construction, identify boundaries for room division, and provide visual feedback for user confirmation. This multi-functionality improves division accuracy without proportionally increasing system complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise division of rooms into subregions, allowing robots to accurately navigate and sweep designated areas, improving user experience and operational efficiency.
Implementation Method 1
scanning an obstacle in a driving path and recording a location parameter of the obstacle
Implementation Method 2
obtaining image information of the obstacle in the driving path, wherein the image information comprises image information of the edge of the obstacle
Data Source
AI summary
A robot (100) working area map construction method and apparatus, a robot (100), and a medium, wherein the robot (100) working area map construction method comprises scanning in real time an obstacle in a driving path and recording position parameters of the obstacle (S102); obtaining in real time image information of the obstacle in the driving path (S104); according to the position parameters and the image information, determining working area-based reference information of the obstacle (S106); and dividing the working area into a plurality of sub-areas on the basis of the reference information (S108). By means of radar scanning and image capture by a camera for double insurance, the robot (100) working area map construction method significantly improves recognition accuracy for room doors and avoids room division confusion caused by the incorrect recognition of doors.