Cleaning Robot Hardware Selection for Mixed Floor Surfaces
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Solution Overview
Problem
Autonomous mobile cleaning robots are often inadequately configured to handle diverse cleaning surfaces, as they typically come with a single hardware setup that is either optimized for hard surfaces or carpeted surfaces, but not both, due to the difficulty in optimizing hardware without prior environmental data.
Innovation Solution
The robot analyzes its environment using maps and sensor data to recommend specific hardware upgrades, such as rollers, casters, drive wheels, or side brushes, to improve cleaning efficiency based on the surface types and usage patterns, allowing users to replace or adjust components for optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a single hardware configuration is provided for the robot, then the device complexity is reduced and manufacturing is easier, but the cleaning effectiveness on diverse surfaces deteriorates
Solution Approach 1:
The patent implements dynamic hardware configuration by allowing the robot to change its cleaning components (rollers, side brushes, casters) based on detected surface types. The system transitions from a static single configuration to a dynamic multi-configuration system that adapts to environmental conditions, resolving the contradiction between manufacturing simplicity and cleaning effectiveness.
Solution Approach 2:
The system changes physical parameters of the cleaning hardware based on surface detection. Different surface types (carpet, hard floor, tile) trigger changes in roller type, brush stiffness, and caster configuration, allowing the same robot base to optimize cleaning parameters for each surface type while maintaining standardized manufacturing of the base unit.
2Reliability
If the robot is optimized for a specific surface type, then cleaning effectiveness on that surface is improved, but adaptability to other surfaces deteriorates
Solution Approach 1:
The patent creates a universal robot platform that can perform multiple cleaning functions across different surface types. By equipping the robot with interchangeable components and surface detection capabilities, a single device achieves the functionality of multiple specialized devices, resolving the contradiction between optimization for specific surfaces and adaptability to diverse surfaces.
Solution Approach 2:
The cleaning system is segmented into modular components (rollers, side brushes, casters) that can be independently selected and replaced. This segmentation allows the robot to optimize each component for specific surface types while maintaining overall system adaptability, as each module can be changed without affecting the others.
3Productivity
If hardware is optimized before deployment, then initial cleaning performance is improved, but the ability to adapt to actual environment deteriorates
Solution Approach 1:
The system performs preliminary surface detection and analysis before committing to a cleaning configuration. The robot maps the environment and identifies surface types in advance, then selects appropriate hardware components based on this preliminary information, allowing optimal performance from the start while maintaining adaptability for future surface changes.
Solution Approach 2:
The system implements feedback loops where cleaning performance is continuously monitored and used to adjust hardware configuration. Surface detection sensors provide feedback about current and upcoming surfaces, triggering automatic or recommended hardware changes to maintain optimal cleaning performance across varying environmental conditions.
Data Source
AI summary
A method of assisting user-configuration of hardware for a mobile autonomous cleaning robot can include detecting a flooring type of a room or other portion of an environment. A size of the portion of the environment can be detected and a total size of the environment can be determined. generating a hardware characteristic recommendation can be generated based at least in part on the flooring type, the size of the portion of the environment, and the total size of the environment.