Robot Cleaner Pattern Replication Using Manual Cleaning Data
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Solution Overview
Problem
Current robot cleaners do not adapt their cleaning patterns to reflect user preferences or manual cleaning methods, leading to inefficiencies and unsatisfactory cleaning experiences.
Innovation Solution
A system that uses a UWB module to record and store user cleaning patterns with a manual cleaner, allowing a robot cleaner to replicate these patterns by storing coordinates, suction force levels, and dust sensor data, enabling the robot cleaner to mimic the user's cleaning path and method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a robot cleaner performs cleaning automatically without user intervention, then productivity is improved, but adaptability deteriorates because it cannot reflect user cleaning patterns
Solution Approach 1:
The system performs preliminary action by having the user manually clean the space first with a handheld cleaner, during which the cleaning pattern (coordinates, suction force, dust sensor data) is recorded and stored. This preliminary manual cleaning creates a template that the robot cleaner subsequently follows, allowing the robot to adapt to user preferences without requiring complex real-time decision-making algorithms.
Solution Approach 2:
The robot cleaner copies the user's cleaning pattern by storing the coordinates, suction force levels, and dust sensor data generated during manual cleaning, then reproducing this exact pattern during automated cleaning operations. This copying approach allows the robot to mimic user behavior precisely, solving the adaptability problem while maintaining high productivity.
2Adaptability or versatility
If the robot cleaner uses basic cleaning modes, then device complexity is reduced, but adaptability deteriorates as it cannot replicate user-specific cleaning methods
Solution Approach 1:
Instead of implementing complex adaptive algorithms, the system uses a simple copying mechanism where the robot cleaner stores and reproduces the exact cleaning pattern (coordinates, suction force, dust sensor data) from manual cleaning. This approach achieves high adaptability with minimal device complexity by literally copying user behavior rather than attempting to understand or replicate it through complex processing.
Solution Approach 2:
The system enables self-service by allowing the user's own cleaning actions to generate the programming data. The user inadvertently programs the robot by performing manual cleaning, and the system automatically stores this pattern for future replication, eliminating the need for complex setup procedures or user training.
3Adaptability or versatility
If the robot cleaner stores detailed cleaning pattern information, then adaptability is improved, but loss of information increases due to data storage requirements
Solution Approach 1:
The system extracts only the essential cleaning pattern information needed for replication: coordinates, suction force levels, and dust sensor data. By taking out only these specific parameters rather than storing all possible cleaning data, the system achieves high adaptability while minimizing data storage requirements and avoiding information loss.
Data Source
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AI summary
The present invention relates to a robot cleaner control method comprising: a first step of storing information related to cleaning during which a manual cleaner cleans while being moved by a user; a second step in which the information, stored in the first step, is transmitted to a robot cleaner; and a third step in which the robot cleaner cleans according to the information.