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Neural Networks for Character Control

submitted by Ashenkase

6 years 12 months ago

A real-time character control mechanism using a novel neural network architecture called a Phase-Functioned Neural Network.

The entire network is trained in an end-to-end fashion on a large dataset composed of locomotion such as walking, running, jumping, and climbing movements fitted into virtual environments.

The system can therefore automatically produce motions where the character adapts to different geometric environments such as walking and running over rough terrain, climbing over large rocks, jumping over obstacles, and crouching under low ceilings.