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DTSTAMP:20260817T171532Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241204T151900
DTEND;TZID=Asia/Tokyo:20241204T153100
UID:siggraphasia_SIGGRAPH Asia 2024_sess120_papers_677@linklings.com
SUMMARY:Actuators A La Mode: Modal Actuations for Soft Body Locomotion
DESCRIPTION:Otman Benchekroun (University of Toronto); Kaixiang Xie (McGil
 l University); Hsueh-Ti Derek Liu (Roblox); Eitan Grinspun (University of 
 Toronto); Sheldon Andrews (Ecole de Technologie Superieure, Roblox); and V
 ictor Zordan (Roblox)\n\nTraditional character animation specializes in ch
 aracters with a rigidly articulated skeleton and a bipedal/quadripedal mor
 phology. This assumption simplifies many aspects for designing physically 
 based animations, like locomotion, but comes with the price of excluding c
 haracters of arbitrary deformable geometries.\nTo remedy this, our framewo
 rk makes use of a spatio-temporal actuation subspace built off of the natu
 ral vibration modes of the character geometry.  \nThe resulting actuation 
 is coupled to a reduced fast soft body simulation, allowing us to formulat
 e a locomotion optimization problem that is tractable for a wide variety o
 f high resolution deformable characters.\n\nRegistration Category: Full Ac
 cess, Full Access Supporter\n\nLanguage Format: English Language\n\nSessio
 n Chair: Hao (Richard) Zhang (Simon Fraser University, Augmenta)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_677&sess=sess120
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