A hybrid dynamical systems approach to intelligent low-level navigation

Eric Aaron, Harold Sun, Franjo Ivančić, Dimitris Metaxas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of Computer Animation 2002, CA 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages154-163
Number of pages10
ISBN (Electronic)0769515940, 9780769515946
DOIs
StatePublished - 2002
Event2002 Computer Animation, CA 2002 - Geneva, Switzerland
Duration: Jun 19 2002Jun 21 2002

Publication series

NameProceedings of Computer Animation 2002, CA 2002

Conference

Conference2002 Computer Animation, CA 2002
Country/TerritorySwitzerland
CityGeneva
Period6/19/026/21/02

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Media Technology

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