Floor material recognition method, control method, and storage medium
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Solution Overview
Problem
Existing autonomous mobile devices face inefficiencies and accuracy issues due to varying floor materials, which affect their moving velocity and sensor measurements, leading to errors in localization, mapping, and navigation.
Innovation Solution
A floor material recognition method that involves transmitting control instructions for the autonomous device to rotate at a predetermined angle, comparing the actual rotation angle with a predetermined angle to classify the floor material as low- or high-resistance, and adjusting the set velocity and power mode accordingly to maintain consistent movement velocity across different floor types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the autonomous mobile device operates on different floor materials, then it can adapt to various environments, but the moving velocity varies due to different resistances causing computation errors
Solution Approach 1:
The system changes operational parameters (motor power, velocity commands) based on detected floor material properties. When high resistance is detected, the system increases motor power and adjusts velocity parameters to compensate for the resistance, maintaining measurement accuracy across different floor materials
Solution Approach 2:
The system continuously monitors actual velocity and position data, compares it with expected values, and uses feedback loops to adjust motor commands. This closed-loop control compensates for variations in floor resistance, maintaining precision despite environmental changes
2Speed
If the autonomous mobile device increases power to overcome high-resistance floor materials, then moving velocity is maintained, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts motor power output based on real-time detection of floor resistance. Instead of maintaining constant high power, the system optimizes power delivery by matching output to actual environmental conditions, reducing energy waste on low-resistance surfaces while providing necessary power on high-resistance surfaces
Solution Approach 2:
The system modifies operational parameters including velocity commands and power output based on detected floor material characteristics. By changing these parameters adaptively, the system maintains velocity performance while optimizing energy consumption to match actual operational needs
3Productivity
If the autonomous mobile device uses standard velocity commands without adaptation, then control simplicity is maintained, but work efficiency decreases due to velocity variations
Solution Approach 1:
The system performs preliminary detection of floor material properties before executing movement tasks. By characterizing the environment in advance and pre-calculating appropriate velocity and power parameters, the system prepares optimal control settings that improve efficiency without requiring complex real-time adjustments during execution
Solution Approach 2:
The system implements adaptive parameter adjustment by modifying velocity commands and power settings based on detected floor conditions. This allows the control system to optimize work efficiency through parameter adaptation while maintaining relatively simple control architecture
Data Source
AI summary
The present disclosure relates to the technical field of smart home, and in particular, to a floor material recognition method, a control method, and a storage medium. The recognition method for the autonomous mobile device for recognizing the floor material includes: transmitting control instructions to the autonomous mobile device, the control instructions including commands that instruct the autonomous mobile device to rotate at a same location for a predetermined rotation angle; obtaining an actual rotation angle of the autonomous mobile device; determining a floor material based on the predetermined rotation angle and the actual rotation angle, such that the autonomous mobile device can automatically recognize different floor materials, and execute different functions or work modes, or automatically configure different set velocities based on the different floor materials, such that the autonomous mobile device can reach substantially consistent actual moving velocities when moving on the different floor materials.