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Technology Solutions

3D Printing Setpoints for Quality Assurance: A Deep Reinforcement Learning Approach​​​​​​

University of Cambridge​

Automated PLC Code Generation 

​​​University of Nottingham

Decision Support Tool for AR Deployment in Industrial Setting

University of Cambridge

Inter-Site Tracking Solution

University of Cambridge

Robot Machining Cell with Rigid Contouring End-Effector

University of Nottingham

Drilling

Accuracy

University of Sheffield / AMRC

AGV Autonomy Upgrade

​​University of Nottingham

Behaviour

Model

University of Nottingham

Digital-Physical Twin Alignment Methodology

University of Nottingham

Legacy PLC

Monitoring

University of Cambridge

Smart Factory Optimisation

University of Nottingham

Augmented Reality-Guided Manual Assembly

University of Cambridge

CNN-Based Vision Model for Optimising Vacuum Forming Process Parameters

University of Cambridge

Industrial Cyber Security

University of Nottingham

Modular, Low-Cost Tracking Systems

University of Cambridge

Virtual

Commissioning

University of Nottingham

If you are interested in seeing how you could engage with the Research Centre for Connected Factories please contact Daniel Symes at daniel.symes@nottingham.ac.uk

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