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DTSTAMP:20250110T023312Z
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:Technical Papers\n\nOtman Benchekroun (University of Toronto);
  Kaixiang Xie (McGill University); Hsueh-Ti Derek Liu (Roblox); Eitan Grin
 spun (University of Toronto); Sheldon Andrews (Ecole de Technologie Superi
 eure, Roblox); and Victor Zordan (Roblox)\n\nTraditional character animati
 on specializes in characters with a rigidly articulated skeleton and a bip
 edal/quadripedal morphology. This assumption simplifies many aspects for d
 esigning physically based animations, like locomotion, but comes with the 
 price of excluding characters of arbitrary deformable geometries.\nTo reme
 dy this, our framework makes use of a spatio-temporal actuation subspace b
 uilt off of the natural vibration modes of the character geometry.  \nThe 
 resulting actuation is coupled to a reduced fast soft body simulation, all
 owing us to formulate a locomotion optimization problem that is tractable 
 for a wide variety of high resolution deformable characters.\n\nRegistrati
 on Category: Full Access, Full Access Supporter\n\nLanguage Format: Englis
 h Language\n\nSession Chair: Hao (Richard) Zhang (Simon Fraser University,
  Amazon)
URL:https://asia.siggraph.org/2024/program/?id=papers_677&sess=sess120
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