Window Cleaning Robot Path Determination Using Edge Corner Detection
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Solution Overview
Problem
Existing window cleaning robots often malfunction or work inefficiently due to the need for manual adjustment of cleaning paths based on window size and structure, leading to compatibility issues between the robot's path and the surface being cleaned.
Innovation Solution
A method and system that control the cleaning robot to rotate based on a target direction, detecting edge corner trigger signals to automatically determine the optimal cleaning path, ensuring compatibility with the surface by moving vertically or horizontally depending on the detected signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a horizontal wiping path is used, then the cleaning robot can avoid overcoming its weight and slipping, but it cannot rotate to change direction on narrow glass and requires frequent direction changes reducing cleaning efficiency
Solution Approach 1:
The patent makes the cleaning path dynamic by detecting the window width in real-time and automatically switching between horizontal and vertical wiping modes. The robot adapts its movement pattern based on the detected dimensions, transforming from a static fixed-path design to a dynamic adaptive-path system that optimizes both reliability and productivity.
Solution Approach 2:
The system changes the cleaning path parameters (horizontal vs. vertical wiping) based on detected window characteristics. By measuring the window width and comparing it to the robot's width, the system selects the appropriate wiping mode, thereby changing operational parameters to resolve the contradiction between slipping resistance and cleaning efficiency.
2Adaptability or versatility
If the cleaning robot is designed with a square structure, then it can clean edges and corners of windows, but it prevents rotation to change direction on narrow glass
Solution Approach 1:
The patent introduces dynamic path selection that allows the square-structured robot to operate in both horizontal and vertical wiping modes. This dynamic adaptation enables the robot to maintain its square structure for edge cleaning while overcoming the rotation limitation by switching to vertical wiping on narrow windows where rotation would be impossible.
3Reliability
If manual adjustment of cleaning path is required, then the robot can be configured for specific window sizes, but it causes malfunction or inefficiency when users forget or select incorrect paths
Solution Approach 1:
The patent implements self-service by enabling the robot to automatically detect window dimensions and select the appropriate cleaning path without user intervention. The robot measures the window width, compares it with its own dimensions, and autonomously determines whether to use horizontal or vertical wiping, thereby eliminating the need for manual path configuration and preventing errors from incorrect settings.
Solution Approach 2:
The system uses feedback from the window width detection to automatically adjust the cleaning path selection. By continuously monitoring the detected dimensions and comparing them with operational requirements, the system provides real-time feedback that triggers automatic path selection, ensuring the correct configuration without requiring user input or memory.
Data Source
AI summary
The application discloses a method, system, device, and storage medium for determining a cleaning path. The method includes: in response to a cleaning instruction from a cleaning robot, controlling the cleaning robot to rotate a preset angle on the surface to be cleaned based on a target rotation direction; detecting whether the cleaning robot generates a first edge corner trigger signal during its rotation; and determining a working path of the cleaning robot on a surface to be cleaned based on the detecting result of the first edge corner trigger signal. This application automatically determines the working path based on the detecting result of the first edge corner trigger signal, which, compared to existing technologies that rely on manually selecting the working path, ensures the adaptability of the working path to the surface to be cleaned.