Detection and presentation of various surface types by an autonomous vacuum
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Solution Overview
Problem
Conventional autonomous floor cleaning systems lack the ability to provide users with detailed information about the surfaces they are cleaning, such as type, pattern, and texture, making it difficult for users to understand the cleaning process and ensure optimal cleaning techniques are being used.
Innovation Solution
An autonomous vacuum equipped with sensors to detect surface types and generate user interfaces that depict these surfaces in real-time, allowing users to visualize the cleaning process through an integrated display or client device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional autonomous floor cleaning systems use basic user interfaces, then the system is simple and easy to manufacture, but the user interface lacks detailed information about surface types, patterns, and textures
Solution Approach 1:
The system creates a visual copy or representation of the actual floor surface by capturing images with sensors and displaying them on the user interface. This allows users to see detailed surface information (type, pattern, texture) without adding physical complexity to the vacuum system itself. The visual copy conveys rich information while keeping the hardware relatively simple.
2Reliability
If the autonomous vacuum provides detailed surface information through user interfaces, then users can contextualize the cleaning process, but the system complexity increases
Solution Approach 1:
The system provides feedback to users by displaying captured surface images and information on the user interface. This feedback loop allows users to verify what the vacuum is seeing and understand the cleaning context, improving reliability without requiring complex mechanical modifications to the vacuum itself. The feedback is achieved through software and display technologies.
3Measurement precision
If the autonomous vacuum uses sensors to capture detailed environment data, then surface detection accuracy improves, but the device complexity and manufacturing cost increase
Solution Approach 1:
The sensor system is designed to serve multiple functions: capturing surface type information, detecting patterns, identifying textures, and providing visual feedback to users. By making the sensor system multi-functional, the patent avoids adding separate specialized sensors for each detection task, thereby improving measurement precision while limiting the increase in manufacturing complexity.
Data Source
AI summary
Systems and methods for navigating an autonomous vacuum are disclosed. According to one method, the autonomous vacuum traverses a cleaning environment having a plurality of surfaces. As the autonomous vacuum is traversing the cleaning environment, sensors on the autonomous vacuum capture sensor data describing a first section of a surface on which the autonomous vacuum is currently traversing. Based on the received sensor data, the autonomous vacuum can determine that the first section is of a first surface type of a plurality of surface types. The autonomous vacuum can generate a user interface with a background displaying the determined first surface type to notify the user of where the autonomous vacuum is cleaning.