ALTERING MOTION OF COMPUTER SIMULATION CHARACTERS TO ACCOUNT FOR SIMULATION FORCES IMPOSED ON THE CHARACTERS

摘要

The reaction to randomized forces that are imposed on a ragdoll computer simulation character are learned by a neural network such as a generative adversarial network (GAN) as the forces are applied to the character and the character attempts to return to an initial character configuration.