Service Label Localization for Autonomous Object Servicing
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Solution Overview
Problem
Existing service rendering systems, such as robotic arms and autonomous vehicles, face challenges in efficiently servicing objects in hard-to-reach locations, requiring manual intervention or specialized scheduling due to the inability to autonomously locate and reach devices installed in open or elevated areas.
Innovation Solution
A service rendering system equipped with an image sensor controller that captures and processes images to identify service labels, extracts the label's encoded service point location, and calculates the precise position to navigate and render services autonomously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If stationary robotic arms are used for servicing objects, then the robotic arms can perform precise mechanical procedures, but the robotic arms cannot reach objects in hard-to-reach or elevated locations
Solution Approach 1:
The system transitions from stationary robotic arms to mobile service vehicles that can dynamically move throughout the service area. The mobile vehicle navigates to different locations and uses robotic arms with extended reach capabilities to service objects in hard-to-reach and elevated locations, making the system adaptable to various service scenarios
Solution Approach 2:
The system adds vertical dimension capability through robotic arms with extended reach that can service objects at elevated heights. The mobile vehicle provides horizontal mobility while the robotic arm provides vertical access, creating three-dimensional service coverage throughout the facility
2Productivity
If manual intervention is used to service devices in hard-to-reach locations, then the devices can be serviced, but significant time and human resources are required
Solution Approach 1:
The mobile service vehicle operates autonomously using onboard sensors, processors, and navigation systems to locate service targets, plan routes, and execute servicing tasks without human intervention. The vehicle independently navigates to devices in hard-to-reach locations and performs maintenance operations, eliminating the need for manual service deployment
Solution Approach 2:
The system replaces manual mechanical servicing with an automated mobile robot system. The vehicle uses sensors for detection, processors for decision-making, and robotic mechanisms for physical servicing, substituting human operators with an integrated automated system that reduces service time and human resource requirements
3Reliability
If specialized technical crews are scheduled to service exceptional devices, then the devices can be maintained, but scheduling complexity and service delays increase
Solution Approach 1:
The mobile service vehicle autonomously monitors and services devices without requiring human technician intervention or complex scheduling systems. The vehicle independently identifies service needs, navigates to targets, and performs maintenance tasks, simplifying the service system while maintaining reliable device maintenance
Solution Approach 2:
The mobile service vehicle is designed as a multi-functional platform that can service various types of devices across different locations and heights. The vehicle carries multiple service tools and can adapt to different maintenance tasks, replacing the need for specialized technical crews for different device types
4Ease of operation
If service vehicles are deployed to reach elevated devices, then the vehicles can access hard-to-reach locations, but the vehicles require extended reach capabilities that increase vehicle complexity
Solution Approach 1:
The system divides the service function into two independent components: the mobile vehicle base that provides horizontal mobility and navigation, and the robotic arm mechanism that provides vertical reach and positioning. This segmentation allows each component to be optimized independently, with the vehicle handling ground mobility and the arm handling elevated access
Data Source
AI summary
A service rendering system locates a service object based on a label. A controller of the service rendering system receives an image captured by a camera coupled to the controller, processes the image to identify a label image in the image, identifies a label in the label image as corresponding to the service object, and obtains a service point location encoded in the label, where the service point location comprises a location relative to a location of the label. 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.


