Generating Responsive Life-Like Biped Characters

Abstract

In this paper, we present a real-time method for generating 3D biped character motions that are dynamic and responsive but also believably life-like and natural. Our model uses a physics-based controller to generate intelligent foot placement and upper-body postural information, that we combine with random human-like movements and an inverse kinematic solver to generate realistic character animations. The key idea is modulating procedurally random rhythmic motions seamlessly in with a physics-based model to produce less robot-like static looking characters and more life-like dynamic ones. Moreover, our method is straightforward, computationally fast and produces remarkably expressive motions that are physically accurate while being interactive.