Robotic Sewing Assembly Selection for Automated Cloth Processing
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Solution Overview
Problem
Existing sewing processes for manufacturing sewn products are inefficient due to reliance on manual labor and lack of automation.
Innovation Solution
A sewing system comprising a robot manipulator, detachable assemblies for performing specific tasks on cloth, a server storing process data, and a control device that selects and controls the assemblies based on this data to automate the manufacturing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual labor is used for sewing processes, then flexibility and adaptability are maintained, but productivity and manufacturing efficiency are low
Solution Approach 1:
The sewing system is divided into multiple independent robot manipulators, each capable of performing specific sewing operations. Each manipulator can be independently controlled and programmed for different tasks, enabling parallel processing and improving overall productivity while maintaining flexibility through selective activation of individual units.
Solution Approach 2:
Multiple robot manipulators are designed with standardized interfaces and control systems that allow them to perform various sewing operations. The system can accommodate different needle types, thread configurations, and operation modes across the manipulators, enabling a single platform to handle diverse sewing tasks without requiring separate dedicated equipment for each function.
2Productivity
If multiple assemblies are used for different sewing tasks, then productivity increases through parallel operation, but device complexity increases
Solution Approach 1:
The system divides the sewing process into multiple independent assemblies, each handled by a separate robot manipulator. This segmentation allows parallel execution of different sewing operations (e.g., stitching, binding, attaching) simultaneously, increasing productivity while keeping each individual assembly relatively simple and manageable.
Solution Approach 2:
Multiple robot manipulators are merged into a single integrated sewing system that shares common resources such as the cloth holder, coordinate system, and control architecture. This merging approach enables parallel processing while avoiding the complexity of managing completely independent systems by establishing unified control and coordination mechanisms.
3Manufacturing precision
If detailed work determination methods are used, then precision and quality control improve, but the load on the control system increases
Solution Approach 1:
Basic marks are used as intermediary reference points on the cloth to convey work determination information. Instead of the control system directly analyzing complex work requirements, the marks serve as a simplified intermediary language that encodes essential information about sewing operations, allowing the control system to interpret and execute tasks with reduced computational complexity while maintaining precision.
Solution Approach 2:
The system uses simplified mark representations on the cloth as copies or abbreviations of the actual work requirements. These marks are condensed visual or physical representations that carry the essential information needed for precise work determination without requiring the control system to process complex detailed specifications, thereby reducing computational load while maintaining accuracy.
Data Source
AI summary
A sewing system includes: a robot manipulator; a plurality of assemblies attached to and detached from the robot manipulator and each configured to perform predetermined work on cloth; a server stores process data indicating a relationship between a plurality of processes for manufacturing a sewn product from the cloth and the assembly used in each of the plurality of processes; and a control device configured to select an assembly to be mounted to the robot manipulator based on the process data.