Tired Actor: Fatigue-Informed Character Control

Xinpeng Liu, shengyuan zhang, Muchun Niu, Yulong Chen, Lizhuang Ma, Yue Gao, Cewu Lu, Yong-Lu Li

Keywords: Character Control, Fatigue, Character Animation

Abstract: Replicating human behavior with physics simulation has been a long-expected goal in character animation. Existing efforts have achieved impressive performance in imitating a wide span of general motions. However, most existing efforts could still suffer from unnatural movements due to the lack of biomechanical and physiological priors. Given this, we project our sights to advances in behavioral energetics, which demonstrate how energy use shapes human movements. In contrast, current character controllers typically assume the character is equipped with infinite energy over time. Inspired by these, we propose to adopt fatigue as a proxy of the finite energy limit, inject it into general character animation, and thoroughly investigate how fatigue introduces new characteristics to physics-based character control. Leveraging the Three-Compartment Controller (3CC) model, we managed to obtain a policy for general motion imitation under different fatigue statuses. Furthermore, extensive analyses are conducted to demonstrate how fatigue could influence the naturalness, scalability, and robustness of character animation. Our code would be made public.

Primary Area: applications to computer vision, audio, language, and other modalities

Submission Number: 7467