Methods and systems are provided for training machine learning (e.g., NN) or other artificial intelligence (AI) models to control a robot arm to manipulate a catheter to robotically perform an invasive clinical catheter-based procedure.

A system for predicting control factors for a manufacturing facility, performed by at least one processor, includes: a model execution management unit configured to execute or manage one or more facility control factor prediction models trained to predict control factors for a manufacturing facility received from a prediction model providing system, a storage unit configured to store data associated with the facility control factor prediction models, and a communication unit configured to receive an independent factor of one of a plurality of manufacturing facilities from a facility control system, and configured to transmit a control factor predicted value calculated by one of the one or more facility control factor prediction models based on the independent factor to the facility control system.