A robot arm digital twin utilising reinforcement learning

For many industry contexts, the implementation of Artificial Intelligence (AI) has contributed to what become known as fourth industrial revolution or “Industry 4.0” and creates an opportunity deliver significant benefit both businesses their stakeholders. Robot arms are one most common devices utilised in manufacturing processes, used for a wide variety automation tasks on, example, factory floor but effective use these requires AI be appropriately trained. One approach support training is “Digital Twin”. There are, however, number challenges that exist within this domain, particular, success depends upon ability collect data considered observations environment application trained policies task completed. This project presents case-study creating Arm Digital Twin virtual space applying simulation learning physical space. A space, created using Unity (a contemporary Game Engine), incorporating robot arm was linked being 3D printed replica arm. These environments were applied solve provide model. The contribution work guidance on protocols digital twin together with details necessary architecture through Tensorflow hyperparameter tuning. It provides addressing mapping domain twin.