Autonomous Mobile Boundary Maneuvering for Safe Edge Coverage
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Solution Overview
Problem
Existing autonomous mobile devices, such as mowing robots, struggle to work in fully close proximity to the boundary of their work region without colliding, limiting their work coverage and safety.
Innovation Solution
A method for controlling autonomous mobile devices involves determining candidate positions based on a first coordinate set, ensuring the device turns perpendicular and parallel to the boundary, with the tail closer to the boundary than the head, and adjusting positions to enhance safety and coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the autonomous mobile device works in close proximity to the boundary of the work region, then the work coverage is improved, but the safety risk of collision increases
Solution Approach 1:
The system performs preliminary safety checks by determining candidate positions and verifying rotation safety before the device actually moves to work near the boundary. The controller checks whether the device can safely rotate at a candidate position before commanding movement, preventing collision risks before they occur.
Solution Approach 2:
The system uses feedback from boundary information and device position data to dynamically adjust the working path. The controller continuously monitors the device's position relative to the boundary and adjusts the path planning to maintain safe distances while maximizing work coverage.
2Productivity
If the autonomous mobile device rotates at a position close to the boundary, then the work coverage is improved, but the rotation safety is compromised
Solution Approach 1:
The system performs preliminary safety checks by determining candidate positions and verifying rotation safety before the device actually moves to work near the boundary. The controller checks whether the device can safely rotate at a candidate position before commanding movement, preventing collision risks before they occur.
Solution Approach 2:
The system uses feedback from boundary information and device position data to dynamically adjust the working path. The controller continuously monitors the device's position relative to the boundary and adjusts the path planning to maintain safe distances while maximizing work coverage.
3Device complexity
If the autonomous mobile device follows a simple boundary-following path, then the control complexity is reduced, but the work coverage near the boundary is insufficient
Solution Approach 1:
The working path is segmented into multiple candidate positions along the boundary. Instead of following a simple continuous boundary path, the system divides the boundary into discrete segments and evaluates each segment as a potential working position, allowing more comprehensive coverage while maintaining manageable control complexity.
Solution Approach 2:
The system dynamically adjusts the working path by selecting optimal candidate positions based on real-time conditions. The controller can adaptively choose which boundary segments to work on and in what sequence, optimizing work coverage while maintaining reasonable control complexity through structured decision-making.
Data Source
AI summary
A method for controlling an autonomous mobile device, an autonomous mobile device, and a computer storage medium are provided. The method includes: determining a plurality of candidate positions based on a first coordinate set; determining one of the candidate positions satisfying a safety condition for rotating the autonomous device as a first position; controlling the autonomous mobile device to turn at the first position so that the autonomous mobile device is perpendicular to a first boundary corresponding to the first coordinate set, and a tail of the autonomous mobile device is closer to the first boundary than a head of the autonomous mobile device; controlling the autonomous mobile device to move backward to a second position; and controlling the autonomous mobile device to turn at the second position so that the autonomous mobile device is parallel to the first boundary.


