Abstract:
We examine the shot aiming problem within a physical pinball machine using model predictive control methods and machine learning based system models. A switched mode syst...Show MoreMetadata
Abstract:
We examine the shot aiming problem within a physical pinball machine using model predictive control methods and machine learning based system models. A switched mode system model is developed and trained using data collected from an infrared beam-break sensor array that allows the estimation and prediction of future ball states. The trained model is then used within a model predictive controller to successfully aim shots within a physical pinball machine. The experimental results show that the controller performs with sufficient accuracy to hit standard pinball targets found in commercial pinball machines.
Date of Conference: 28-31 August 2023
Date Added to IEEE Xplore: 26 December 2023
ISBN Information: