Mobile Robot Region Navigation Using Adaptive Positioning Variables
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Solution Overview
Problem
Current systems for controlling the movement of autonomous mobile robots lack efficient methods to navigate between user-defined regions, often relying on accurate positioning information to ensure correct movement and boundary adherence.
Innovation Solution
A method involving a user device that sets user boundaries, transmits data to the mobile robot, and adjusts positioning variables such as wireless signal bandwidth, transmission power, and information transmission period to control the robot's movement between defined regions, allowing for precise positioning and movement control between user-specified areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If accurate positioning information is used to control mobile robot movement, then navigation precision is improved, but system complexity and initial positioning requirements increase
Solution Approach 1:
The service area is divided into multiple regions with different positioning variable configurations. Each region has optimized positioning parameters (bandwidth, transmission power, transmission period) tailored to its specific characteristics, allowing the system to achieve high navigation precision without requiring uniformly high positioning accuracy across the entire area, thus reducing overall system complexity
Solution Approach 2:
The system dynamically adjusts positioning variables (bandwidth, transmission power, transmission period) based on the robot's current region. By changing these parameters according to location, the system achieves accurate navigation adaptively without requiring complex high-precision positioning infrastructure everywhere, thereby resolving the contradiction between precision and complexity
2Manufacturing precision
If positioning variables are optimized based on robot location, then navigation accuracy is improved, but control process complexity increases
Solution Approach 1:
Positioning variable configurations are pre-established for each region before the robot operates. The server stores optimized positioning parameters for different regions in advance, so when the robot enters a region, the appropriate parameters are automatically applied without requiring complex real-time optimization calculations, thus maintaining high navigation accuracy while simplifying the control process
Solution Approach 2:
The system continuously monitors the robot's location and automatically adjusts positioning variables based on which region the robot is in. This feedback mechanism ensures navigation accuracy is maintained through adaptive parameter adjustment, while the automation of this process prevents control complexity from increasing significantly
3Adaptability or versatility
If user boundaries are set to define multiple regions, then service area flexibility is improved, but system configuration complexity increases
Solution Approach 1:
The boundary setting system serves multiple functions: it defines service areas, creates regional divisions, and triggers different positioning variable configurations simultaneously. By making the boundary configuration system multi-functional, the patent achieves high service area flexibility without proportionally increasing complexity, as the same structural element performs multiple roles
Data Source
AI summary
Provided is a method performed by a user device to control a movement of a mobile robot between user regions. The method includes setting user boundaries, transmitting data about the set user boundaries to the mobile robot, transmitting a movement control request to the mobile robot in response to an input of a user service request, identifying a region where the mobile robot is located by performing positioning on the mobile robot, and allowing the movement control of the mobile robot to be stopped by transmitting a confirmation signal to the mobile robot when the identified region where the mobile robot is located is the same as the target region.