Mobile Robot Map Selection for Changing Environments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing map-based cleaning robots require a new map to be created whenever the working environment changes, leading to inconvenience and inefficiency in cleaning operations.
Innovation Solution
A mobile robot system that generates and selects from multiple composites of cleaning area information, including a cleaning area map, feature point map, and user-defined options, to recognize positions and perform cleaning efficiently, even in changing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single map is used for cleaning operations, then the system structure remains simple, but the robot cannot adapt to environmental changes and requires manual map recreation
Solution Approach 1:
The patent divides the cleaning area into multiple sub-maps, each representing a specific region or aspect of the environment. The robot can selectively use appropriate sub-maps based on environmental conditions, avoiding the need to manage a single complex map while adapting to changes efficiently.
Solution Approach 2:
The system dynamically selects and switches between different maps based on real-time environmental conditions and robot position. This dynamic adaptation allows the robot to respond to environmental changes without requiring manual intervention or complex map management structures.
2Measurement precision
If a new map is created whenever the working environment changes, then cleaning accuracy is maintained, but time is lost due to map recreation
Solution Approach 1:
Multiple maps are pre-created for different environmental conditions and stored in advance. When the environment changes, the robot can directly select from these pre-prepared maps without needing to recreate them, thus maintaining position recognition accuracy while avoiding time loss.
Solution Approach 2:
The system creates copies of map data for different environmental scenarios and stores them for quick retrieval. This allows the robot to switch between pre-existing map copies rather than creating new maps each time, preserving accuracy while reducing time consumption.
3Productivity
If multiple types of cleaning area information are integrated, then cleaning efficiency is improved, but information processing complexity increases
Solution Approach 1:
The patent combines multiple types of cleaning area information (cleaning area maps, feature point maps, option information) into an integrated composite map structure. This merging allows the robot to process diverse information uniformly, improving cleaning efficiency while managing complexity through a standardized integration framework.
Solution Approach 2:
The composite map structure serves multiple functions simultaneously: it stores cleaning area boundaries, feature points for position recognition, and user options. This multi-functionality allows the system to handle various cleaning tasks using a single unified data structure, improving efficiency without proportionally increasing complexity.
Data Source
AI summary
Disclosed are a system for operating a mobile robot based on cleaning area information and a method thereof. A mobile robot based on cleaning area information according to an exemplary embodiment of the present invention includes a memory which stores a plurality of cleaning area information in which at least a part of a cleaning available area is changed; and a controller which controls to select one cleaning area information among the plurality of stored cleaning area information, recognize a position on a cleaning area map which configures the selected cleaning area information and perform cleaning on the cleaning available area from the recognized position.