Evolving character controllers for collision preparation

dc.contributor	Metoyer, Ronald
dc.contributor	Cull, Paul
dc.contributor	Parks, Harold
dc.contributor	Wong, Weng-Keen
dc.date	2006-10-02T22:34:40Z
dc.date	2006-10-02T22:34:40Z
dc.date	2006-09-08
dc.date	2006-10-02T22:34:40Z
dc.date.accessioned	2013-10-16T07:40:30Z
dc.date.available	2013-10-16T07:40:30Z
dc.date.issued	2013-10-16
dc.identifier	http://hdl.handle.net/1957/3114
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1957/3114
dc.description	Graduation date: 2007
dc.description	Full dynamic control of physically simulated characters is the holy grail of video games and other interactive applications. Recent advances in the field have presented controllers that can handle the balance and fall response after a collision. This thesis addresses the development of a controller that handles the response before a collision-—reflexive posturing that protects the character from impact. To solve this problem we present a technique that uses genetic algorithms to optimize a pose controller based on analysis from a pain measurement system. Applying our technique we develop collision preparatory controllers that defend a virtual character in several different styles from a variety of threats.
dc.language	en_US
dc.subject	physically simulated characters
dc.subject	character control
dc.subject	computer animation
dc.subject	physical simulation
dc.subject	collision preparation
dc.subject	video games
dc.title	Evolving character controllers for collision preparation
dc.type	Thesis

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