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A Hybrid Dynamical Systems Approach to Intelligent Low-Level Navigation
Geneva, Switzerland June 19-June 21
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CA.2002.1017525Computer Animation 2002
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Eric Aaron, Harold Sun, Franjo Ivančić, Dimitris Metaxas, "A Hybrid Dynamical Systems Approach to Intelligent Low-Level Navigation," Computer Animation, pp. 154, Computer Animation 2002, 2002.
 
 
BibTex
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@article{ 10.1109/CA.2002.1017525,
author = {Eric Aaron and Harold Sun and Franjo Ivančić and Dimitris Metaxas},
title = {A Hybrid Dynamical Systems Approach to Intelligent Low-Level Navigation},
journal ={Computer Animation},
volume = {0},
year = {2002},
issn = {1087-4844},
pages = {154},
doi = {http://doi.ieeecomputersociety.org/10.1109/CA.2002.1017525},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Animation
TI - A Hybrid Dynamical Systems Approach to Intelligent Low-Level Navigation
SN - 1087-4844
SP
EP
A1 - Eric Aaron,
A1 - Harold Sun,
A1 - Franjo Ivančić,
A1 - Dimitris Metaxas,
PY - 2002
KW - null
VL - 0
JA - Computer Animation
ER -
 
Eric Aaron, University of Pennsylvania
Harold Sun, Rutgers University
Franjo Ivančić, University of Pennsylvania
Dimitris Metaxas, Rutgers University
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.
Citation:
Eric Aaron, Harold Sun, Franjo Ivančić, Dimitris Metaxas, "A Hybrid Dynamical Systems Approach to Intelligent Low-Level Navigation," ca, pp.154, Computer Animation 2002, 2002
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