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dc.contributor.authorHodgins, Jessica K.
dc.contributor.authorBrogan, David C.
dc.date.accessioned2004-11-09T19:11:46Z
dc.date.available2004-11-09T19:11:46Z
dc.date.issued1994
dc.identifier.urihttp://hdl.handle.net/1853/3590
dc.description.abstractBirds, fish, and many other animals are able to move gracefully and efficiently as a herd, flock, or school. We would like to reproduce this behavior for herds of artificial creatures with significant dynamics. This paper develops an algorithm for grouping behaviors and evaluates the performance of the algorithm on two types of systems: a full dynamic simulation of a legged robot that must balance as well as move with the herd and a point mass with minimal dynamics. Robust control algorithms for group behaviors of dynamic systems will allow us to generate realistic motion for animation using high-level controls, to develop synthetic actors for use in virtual environments, mobile robotics, and perhaps to improve our understanding of the behavior of biological systems.en
dc.format.extent300139 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technologyen
dc.relation.ispartofseriesGVU Technical Report;GIT-GVU-94-13
dc.subjectHerdsen
dc.subjectReactive navigationen
dc.subjectDynamic simultionen
dc.titleRobot Herds: Group Behaviors for Systems with Significant Dynamicsen
dc.typeTechnical Reporten


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