Label-Guided Charging Point Localization for Mobile Service Robots
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Solution Overview
Problem
Existing service rendering systems, such as robotic arms, are typically stationary and cannot efficiently service devices installed in hard-to-reach locations or across wide areas, requiring manual intervention or specialized scheduling for maintenance tasks like charging and data updates.
Innovation Solution
A service rendering system equipped with an image sensor controller that captures and processes images to identify service labels, extracting service point locations and requests, allowing the system to autonomously navigate and render services like charging to devices without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If stationary robotic arms are used to service devices, then service precision can be maintained, but the system cannot reach devices in hard-to-reach locations or across wide areas
Solution Approach 1:
The system transitions from stationary robotic arms to mobile service vehicles that can autonomously navigate to devices located anywhere in the coverage area. The mobile vehicle dynamically positions itself near the target device, enabling service of devices in hard-to-reach locations while maintaining service capability through adaptive movement rather than fixed positioning.
2Productivity
If manual intervention is used to service devices in hard-to-reach locations, then service can be performed, but labor costs and scheduling complexity increase
Solution Approach 1:
The mobile service vehicle autonomously locates target devices using image sensors and label recognition, navigates to their positions, and performs servicing tasks without human intervention. The system self-manages the entire service workflow from detection to execution, eliminating the need for manual labor and specialized scheduling while improving service efficiency.
3Reliability
If technical crew are scheduled for specialized servicing, then devices can be maintained, but scheduling time and operational disruption increase
Solution Approach 1:
The mobile service vehicle continuously patrols and proactively identifies devices that require servicing by reading their labels and assessing their status. By performing preliminary detection and navigation before service is needed, the system can execute maintenance tasks immediately when conditions are favorable, eliminating the need for advance scheduling and reducing operational disruption while maintaining high service quality.
Data Source
AI summary
In a method for charging an electric device by a service rendering system, a controller of the service rendering system receives an image captured by an image sensor and processes the image to identify a label in the image as corresponding to the electric device. The controller obtains a service point location encoded in the label, where the service point location includes a location relative to a location of the label. The controller obtains service information included in the label, where the service request includes a charging service, and the charging service includes a description of an electric charging input of the electric device. The controller calculates a label position of the label using the image of the label and calculates a service point position using the service point location and the label position, where the service point position includes the electric charging input.