Robot Cleaner 3D Sensor Auto-Correction for Malfunction Prevention
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Solution Overview
Problem
Robot cleaners lack an effective method for diagnosing and auto-correcting their 3D sensors, which can lead to malfunctions during cleaning and travel, affecting operation efficiency and user safety.
Innovation Solution
A robot cleaner equipped with a 3D sensor unit, a secondary sensor unit, a storage unit, an input unit, a control unit, and an output unit, allowing for diagnostic mode execution, state diagnosis, and auto-correction of the 3D sensor parameters using a diagnostic algorithm, with features like laser modules and camera modules for sensing and image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If robot cleaner operates without 3D sensor diagnosis and auto-correction, then device complexity is reduced, but reliability deteriorates due to potential malfunctions during cleaning and travel
Solution Approach 1:
The 3D sensor performs self-diagnosis and auto-correction of its own parameters without external intervention. The control unit automatically detects sensor malfunctions and corrects parameters by controlling the laser module to move to predetermined positions and capturing images with the camera module, enabling the system to self-heal and maintain reliability without adding complex manual diagnosis procedures
Solution Approach 2:
The system performs preliminary diagnosis and parameter correction before malfunctions affect cleaning operations. By continuously monitoring 3D sensor status and automatically correcting parameters when deviations are detected, the system prevents potential failures before they occur during actual cleaning tasks, maintaining high reliability
2Productivity
If robot cleaner implements continuous 3D sensor monitoring, then operation efficiency is improved by preventing malfunctions, but loss of time increases due to diagnostic procedures
Solution Approach 1:
The system performs 3D sensor diagnosis periodically or at predetermined intervals rather than continuously, and automatically corrects parameters when issues are detected. This periodic monitoring approach ensures cleaning operations proceed without interruption while still maintaining high productivity through timely malfunction prevention
Solution Approach 2:
The control unit continuously receives feedback from the 3D sensor and automatically initiates correction procedures when parameter deviations are detected. This feedback mechanism enables the system to maintain high cleaning efficiency by quickly responding to and correcting sensor issues without requiring manual intervention or extensive diagnostic time
3Ease of operation
If robot cleaner lacks auto-correction capability, then ease of operation is reduced requiring manual intervention, but device complexity is lowered
Solution Approach 1:
The robot cleaner automatically diagnoses and corrects its own 3D sensor parameters without requiring user intervention. When the control unit detects parameter deviations, it autonomously controls the laser module and camera module to perform corrections, providing exceptional user convenience while maintaining manageable system complexity through automated self-service operations
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables proactive diagnosis and auto-correction of 3D sensors, preventing malfunctions, enhancing operation efficiency, safety, and user convenience by ensuring the robot cleaner's reliable performance.
Implementation Method 1
a laser module that irradiates a target with a laser pattern
Implementation Method 2
a camera module that obtains an image including the laser pattern
Data Source
AI summary
A robot cleaner includes a 3D sensor unit installed on a main body to sense nearby objects and output sensing information; a secondary sensor unit configured to sense nearby objects and output sensing information; a storage unit configured to set a diagnostic algorithm according to a diagnostic mode in advance; an input unit configured to input an execution command for the diagnostic mode; a control unit configured to auto-correct the diagnostic mode for the 3D sensor and a parameter of the 3D sensor unit using the diagnostic algorithm in response to the execution command; and an output unit configured to output an execution result of the diagnostic mode and a correction message.