Mobile Robot Path Return Control After Route Deviation
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Solution Overview
Problem
Unmanned vehicles often deviate from preset routes due to environmental complexity and positioning errors, leading to inefficiencies and potential collisions, and existing correction methods rely heavily on user interaction or external identifiers that can fail in dynamic environments.
Innovation Solution
A mobile robot system that autonomously determines a return point closest to the preset path, generates a temporary path, and adjusts speed and trajectory to safely return, using sensors and processors to avoid obstacles and optimize path planning without user skill dependence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the unmanned vehicle uses preset route navigation, then the operating efficiency is improved, but the vehicle may deviate from the route due to environmental complexity and positioning errors
Solution Approach 1:
The system continuously monitors the vehicle's position and compares it with the preset route, detecting deviations in real-time. When a deviation is detected, the system automatically generates a correction path to return the vehicle to the route, creating a closed-loop feedback mechanism that maintains route accuracy while preserving operating efficiency
Solution Approach 2:
The system enables the unmanned vehicle to autonomously detect and correct its own route deviations without requiring external intervention. The vehicle independently determines its position, identifies deviations, generates correction paths, and executes return maneuvers, making the system self-correcting and reliable
2Reliability
If the system implements automatic path correction, then the route accuracy is improved, but the device complexity increases
Solution Approach 1:
The path correction function is divided into independent modular components: position detection module, deviation judgment module, path generation module, and execution module. Each module performs a specific function and can be independently developed, tested, and maintained, reducing overall system complexity while achieving reliable automatic correction
3Device complexity
If the system relies on user interaction for path correction, then the device complexity is reduced, but the operating efficiency decreases
Solution Approach 1:
The system enables the unmanned vehicle to autonomously detect and correct its own route deviations without requiring external intervention. The vehicle independently determines its position, identifies deviations, generates correction paths, and executes return maneuvers, making the system self-correcting and reliable
Data Source
AI summary
A mobile robot, a controller, and a mobile robot control method are provided. The mobile robot includes a processor. The processor is configured to execute program instructions to implement the following steps: when it is determined that the mobile robot deviates from a preset path, determining a return point of the preset path that is closest to the mobile robot; generating a temporary path based on the return point; and driving the mobile robot to return to the preset path according to the temporary path.