Reconfigurable Robotic Cells With End Effector Switching
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Solution Overview
Problem
Conventional robotic manufacturing processes lack flexibility and efficiency, particularly in handling multiple tasks and adapting to bottlenecks or failures, leading to reduced throughput and increased resource utilization.
Innovation Solution
A system of reconfigurable robotic cells that can select and switch between different sets of end effectors based on sensor data to adjust manufacturing processing steps, allowing for dynamic reconfiguration and independent operation, reducing the need for multiple cells and minimizing bottlenecks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple specialized robotic cells are used for different manufacturing steps, then manufacturing precision and reliability are improved, but device complexity and resource utilization increase
Solution Approach 1:
Each robotic cell is equipped with multiple interchangeable end effectors that can be selected based on the specific manufacturing step required. This allows a single robotic cell to perform multiple different functions (assembly, welding, inspection, etc.) that would traditionally require separate specialized cells, thereby reducing the total number of cells needed while maintaining manufacturing reliability
Solution Approach 2:
The system dynamically reconfigures robotic cells by selecting appropriate end effectors from available pools based on real-time manufacturing needs and progress monitoring. This dynamic adaptation allows the system to respond to bottlenecks and failures by redistributing tasks across available cells with appropriate capabilities
2Manufacturing precision
If a fixed linear manufacturing process is used, then manufacturing precision is maintained, but adaptability and productivity decrease when bottlenecks or failures occur
Solution Approach 1:
The system continuously monitors manufacturing progress and cell status, using this feedback to dynamically adjust task allocation and reconfigure robotic cells. When bottlenecks or failures are detected, the system responds by redistributing work to available cells, maintaining both process consistency and adaptability
Solution Approach 2:
The manufacturing process transitions from a fixed linear sequence to a dynamic, reconfigurable workflow where tasks can be reassigned based on real-time conditions. Robotic cells can be dynamically configured with appropriate end effectors and assigned different manufacturing steps based on current system state and performance requirements
3Ease of operation
If traditional robotic cells are used without reconfiguration capability, then ease of operation is maintained, but productivity and resource utilization worsen during low-to-medium volume production with high variability
Solution Approach 1:
The system automatically manages end effector selection and robotic cell reconfiguration based on manufacturing requirements, eliminating the need for manual reconfiguration. This self-service capability maintains operational simplicity while enabling high productivity through automated adaptation to varying production demands
Solution Approach 2:
The system provides dynamic reconfiguration capability that automatically adapts to different production volumes and product varieties. This allows the system to maintain ease of operation while achieving high productivity through automated task redistribution and end effector selection based on real-time manufacturing needs
Data Source
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AI summary
A manufacturing process adopting the reconfigurable robotic manufacturing cells (120A, 120B, ... , 120N) that can work conjointly and yet have the capabilities to be reconfigured to disconnect from other cells and handle multiple tasks. The reconfigurable robotic cell is not dependent on any other robotic cells to complete work in progress.