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Animating realistic human agents involves more than just creating movements that look "real". A principal characteristic of humans is their ability to plan and make decisions based on intentions and the local environmental context. "Animated agents" must therefore react to and deliberate about their environment and other agents. Our agent animation uses various low-level behaviors, sense-control-action loops, high-level planning, and parallel task networks. Several systems we developed will illustrate how these components contribute to the realism and efficacy of human agent animation.
Badler, N. I., Webber, B. L., Becket, W., Geib, C. W., Moore, M. B., Pelachaud, C., Reich, B. D., & Stone, M. (1995). Planning and Parallel Transition Networks: Animation's New Frontiers. Retrieved from https://repository.upenn.edu/hms/91
Date Posted: 04 September 2007