Mobile Robot Position Control for Slip-Prone Restricted Points
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Solution Overview
Problem
Existing mobile robots, such as lawn mower robots, face limitations in accurately determining restricted driving points within a driving area, particularly in outdoor environments with varied terrain and obstacles, leading to potential slips and errors in position recognition and control.
Innovation Solution
A mobile robot system that determines specific points where driving is restricted within a driving area by comparing position information measured from the robot's sensing unit with position information received from transmitters, allowing for accurate identification and control of restricted areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile robot operates in outdoor environment with varied terrain, then operational versatility is improved, but slip occurrence and position recognition errors increase
Solution Approach 1:
The patent introduces beacons as intermediary reference points distributed throughout the outdoor driving area. These beacons serve as stable reference markers that the robot can reliably detect and use for position recognition, mediating between the varied outdoor terrain and the robot's navigation system to maintain accuracy despite environmental challenges.
Solution Approach 2:
The robot continuously receives feedback from multiple beacons about its position relative to known reference points. This real-time feedback allows the controller to correct position recognition errors and adjust navigation accordingly, maintaining reliability even when operating on varied outdoor terrain that may cause slips or sensor errors.
2Productivity
If robot drives through restricted points with slip conditions, then area coverage is improved, but accumulated errors in position and area information increase
Solution Approach 1:
The patent implements preliminary action by having the robot detect and identify restricted points with slip conditions before attempting to drive through them. The controller uses beacon-based position recognition to anticipate problematic areas and plan alternative routes, preventing accumulated errors from occurring in the first place rather than correcting them after the fact.
Solution Approach 2:
The continuous feedback mechanism from multiple beacons allows the robot to detect position deviations caused by slip conditions in real-time. When the robot encounters restricted points, the feedback system provides ongoing position information that enables the controller to correct errors immediately, preventing accumulation of position and area information errors that would otherwise reduce measurement precision.
Data Source
AI summary
The present specification relates to a mobile robot and a control method therefor, and relates to a mobile robot and a control method therefor, whereby, on the basis of a result of comparing position information measured on the basis of information on the traveling of a main body, with position information measured on the basis of the result of receiving a signal, the mobile robot determines a specific position point, within a traveling area, where a speed limit occurs.


