Generating Responsive Life-Like Biped Characters

  • Authors:
  • Ben Kenwright

  • Affiliations:
  • School of Computer Science, Newcastle University, Newcastle, United Kingdom

  • Venue:
  • Proceedings of the The third workshop on Procedural Content Generation in Games
  • Year:
  • 2012

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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.