Center for Human Modeling and Simulation

Document Type

Conference Paper

Date of this Version

June 2002

Comments

Copyright 2002 IEEE. Reprinted from Proceedings of Computer Animation 2002, June 2002, pages 154-163.
Publisher URL: http://dx.doi.org/10.1109/CA.2002.1017525

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Abstract

Animated characters may exhibit several kinds of dynamic intelligence when performing low-level navigation (i.e., navigation on a local perceptual scale): They decide among different modes of behavior, selectively discriminate entities in the world around them, perform obstacle avoidance, etc. In this paper, we present a hybrid dynamical system model of low-level navigation that accounts for the above-mentioned kinds of intelligence. In so doing, the model illustrates general ideas about how a hybrid systems perspective can influence and simplify such reactive/behavioral modeling for multi-agent systems. In addition, we directly employed our formal hybrid system model to generate animations that illustrate our navigation strategies. Overall, our results suggest that hierarchical hybrid systems may provide a natural framework for modeling elements of intelligent animated actors.

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Date Posted: 16 July 2007

This document has been peer reviewed.