Robotic Asset Verification via Simulation in Production Work Cells
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Solution Overview
Problem
In the manufacturing of aircraft, it is challenging to verify whether robotic assets and their programs meet design specifications prior to production, leading to inefficiencies and delays, especially when the design and programming are contracted out to third parties.
Innovation Solution
A simulator for production work cells is used to generate a simulation based on the production workflow and performance data of robotic assets, determining if they meet or exceed design requirements, thereby allowing for pre-production verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If robots and programs are designed well in advance of production, then production planning is improved, but verification and debugging during initial production phases becomes time-consuming and inefficient
Solution Approach 1:
The patent applies preliminary action by creating a digital twin simulation environment that allows verification and debugging of robot programs before actual production. The simulation executes the same control programs that will be used in production, enabling all testing and validation to be completed in advance, thus eliminating time-consuming debugging during initial production phases while ensuring reliability requirements are met.
2Adaptability or versatility
If design specifications are subjective, then flexibility in design is improved, but determining if design specifications have been met becomes difficult
Solution Approach 1:
The patent applies feedback by implementing an automated verification system that compares simulation results against objectively defined criteria derived from design specifications. The system provides quantitative feedback on whether robot programs meet design requirements, transforming subjective design criteria into measurable verification metrics through automated evaluation of simulation data.
3Ease of manufacture
If robots are contracted out to a third party, then manufacturing expertise is improved, but verification of design specification compliance becomes difficult
Solution Approach 1:
The patent applies the intermediary principle by introducing a digital twin simulation environment as a neutral verification platform between the contracting party and the client. This intermediary system independently executes the robot programs and verifies compliance with design specifications, providing an objective assessment that resolves the trust issue when outsourcing robot design and programming to third parties.
Data Source
AI summary
Embodiments described herein provide verification of robotic assets for a production work cell via simulation. A production workflow for the production work cell is received from a user, and a simulation is generated based on the production workflow. The simulation of the work cell controller design is executed using performance data for the robotic assets, and a determination is made whether the robotic assets meet or exceed the design requirements of the robotic assets based on the simulation. The result of the determination is presented to the user.


