France

Test of digital twin for product traceability
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Demonstrate benefits of the Digital Twin technology for product traceability
Identify relevant Tests, Experiments, and key partners towards enabling or prooving maturity of AI solutions for integration and deployment
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The service must enable the company to initiate further test or experimentation services
Identify relevant Tests, Experiments, and key partners towards enabling or prooving maturity of AI solutions for integration and deployment
Node:
The service must enable the company to initiate further test or experimentation services
Identify relevant Tests, Experiments, and key partners towards enabling or prooving maturity of AI solutions for integration and deployment
Node:
The service must enable the company to initiate further test or experimentation services
Identify relevant Tests, Experiments, and key partners towards enabling or prooving maturity of AI solutions for integration and deployment
Node:
Category:
The service must enable the company to initiate further test or experimentation services
Use the digital twin of an operator to improve workstation ergonomics
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Provide recommandations to optimize the workstation ergonomics
Use of simulation to optimize production lines
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1) optimize production lines reconfiguration by virtual commissionning 2) optimize use and maintenance of an industrial equipement (robot cell, production machine) with the digital twin updated via the cloud, based on data collected during product
Use of simulation for process planning and monitoring
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1) optimize the conception of production lines, increase availabilty of production lines, optimize the orchestration of tasks
Testing vision based geolocalisation technologies in specific industrial context
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Verify that the technology meets the requirements in manufacturing context
Testing tools for 3D scene analysis and human detection
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Identify best-fit algorithms
Testing of Virtual Reality (VR) technology to learn technical gesture
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Demonstrate the benefits of VR technology to learn gesture and apply it to robotic systems
Testing Natural Language Processing
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Verify that the technology meets the requirements in manufacturing context
Experiment AMR in specific environment
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Evaluate mobile robot capacities on industrial use-cases
Testing of intelligent robot calibration methods
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Demonstrate the benefit of the technology
Test of intelligent grasping – object recognition and manipulation
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Demonstrate capabilities of intelligent grapsing technology on specified use cases
Setting up test-bed for automatic disassembly task
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Assess the performance of the system (speed, accuracy, efficiency)
Give acces to an environnement that enables SMEs to test and experiment their own AI-based solutions
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Supporting SMEs in the test of AI based solutions for manufacturing applications
Experiment connectivity solutions (private 5G, Ethernet TSN) for optimized use in the factory
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Guide the choice of network infrastructure before investment Demonstrate achievable performances
Model Based Systems Engineering (MBSE) services to specify and design complex industrial systems.
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Supporting SMEs in the design of complex systems for manufacturing applications
Use of cobotic system for operator assistance in effort
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Demonstrate the capabilities of a cobotic system to assist an operator in effort
Setting up a prototype to test manufacturing tasks with a cobot
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Evaluate the performance of cobots in industrial context (material, geometry of product, …)
Experiment teleoperation systems
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Evaluate the performance of teleoperation system in industrial context
Use of AI algorithm for autonomous decision making
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Enable a system or a robot to make a decision and act in a given situation
Readiness and reliability of AI based solutions in manufacturing context
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Increase SMEs confidence in AI-based solutions
Awareness making through sharing of expertise, knowledge and demonstrations of AI based technologies
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Convincing a company to go further in test and experimentaion of an AI technology