To help virtual characters move more naturally, researchers from the University of Edinburgh and Adobe developed a character control system that uses deep learning to assist characters to run, jump, avoid obstacles, open and enter through doors, pick up and carry objects from just a single model in real-time. ��Our neural architecture internally acquires a state machine for character control��
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