In order to gather the necessary data to create the digital twin, we captured a point cloud of the space.
The client researches many different kinds of robots, including AMR (Automated Mobile Robots) for moving goods around in a facility, as well as stationary robot arms for doing pick and place operations.
The facility includes some office space and cubicles, but is mostly made up of floor space for robot arms and AMR’s and some shelving to allow AMR’s to fetch and place products on shelves. We wanted to capture the entire facility.
The main purpose of the digital twin is primarily for the client to research computer vision and machine learning methods for training robots, so the goal was to produce a high fidelity version of the digital twin using the Unity HDRP (High Definition Rendering Pipeline).