OaaS - Operator as a Service
OaaS
Context
We envision a future where experienced remote human operators supervise several automatized factories. Advanced Extended Interaction technologies empower these remote operators to take control of on-premise equipment such as manufacturing machines, robots, or AMRs (Autonomous Mobile Robots) to discover what is happening, assert the state of the line, and react accordingly.
Technological Challenges
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Remote control and feedback of robots performing actions on the real factory
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Orchestration and integration of automatization steps and machines into remote controlled flows
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Software architectures and storage and traceability of data from several factories
Methodology
Apply and seamlessly integrate various Smart Factory technologies and disciplines, including Virtual Reality for immersive experiences, Robotics for automated processes, Digital Twin for real-time digital replication of physical systems, Computer Vision for advanced visual data analysis, Voice Interaction AI for intuitive human-machine communication, and Machine Learning for predictive insights and data-driven decision-making
Technical Results
Assembly process:
- Location 1 (Tablet where desired) / Person 1: Customer orders from home with a tablet.
- Location 2 (Operator on conveyor belts) / Person 2: Warehouse operator leaves the pieces of the order on the tray on the table and alerts the system by voice. The AMR comes and picks up the tray.
- Location 3 / No Person 3: Robot receives tray from AMR and assembles the car without fail. When finished the AMR picks up the tray with the car and takes it away.
- Location 3 (Remote operator at his PC in his office)/ OaaS: If there is a failure in the assembly (blocking screw and/or unrecognized wheel), the remote operator receives a warning, sees what happens, solves it with the 3D application and the robot executes the indicated steps to solve the problem.
Scientific Results
- Ander Garcia, Xabier Oregui, Marco Ojer; Edge architecture for the automation and control of flexible manufacturing lines, Procedia Computer Science, Volume 237, 2024, Pages 305-312
- SDK Dual IIoT Data Adquisition and Analysis Platform
Applications
- Smart and fully automated factories (dark factories) and warehouses
- Highly skilled and specialized remote operators
- Remote (or difficult to access) equipment management
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