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DTSTAMP:20260114T163731Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T153000
DTEND;TZID=Australia/Melbourne:20231212T164000
UID:siggraphasia_SIGGRAPH Asia 2023_sess160@linklings.com
SUMMARY:Robots & Characters
DESCRIPTION:ToRoS: A Topology Optimization Approach for Designing Robotic 
 Skins\n\nSoft robotics offers unique advantages in manipulating fragile or
  deformable\nobjects, human-robot interaction, and exploring inaccessible 
 terrain. How-\never, designing soft robots that produce large, targeted de
 formations is\nchallenging. In this paper, we propose a new methodology fo
 r designing\nsoft...\n\n\nJuan Sebastian Montes Maestre, Ronan Hinchet, St
 elian Coros, and Bernhard Thomaszewski (ETH Zürich)\n---------------------
 \nOptimal Design of Robotic Character Kinematics\n\nThe kinematic motion o
 f a robotic character is defined by its mechanical joints and actuators th
 at restrict the relative motion of its rigid components. Designing robots 
 that perform a given target motion as closely as possible with a fixed num
 ber of actuated degrees of freedom is challenging, espec...\n\n\nGuirec Ma
 loisel, Christian Schumacher, Espen Knoop, Ruben Grandia, and Moritz Bäche
 r (Disney Research)\n---------------------\nSparsePoser: Real-time Full-bo
 dy Motion Reconstruction from Sparse Data\n\nAccurate and reliable human m
 otion reconstruction is crucial for creating natural interactions of full-
 body avatars in Virtual Reality (VR) and entertainment applications. As th
 e Metaverse and social applications gain popularity, users are seeking cos
 t-effective solutions to create full-body animati...\n\n\nJose Luis Ponton
  and Haoran Yun (Universitat Politècnica de Catalunya (UPC)); Andreas Aris
 tidou (University of Cyprus, CYENS Centre of Excellence); and Carlos Anduj
 ar and Nuria Pelechano (Universitat Politècnica de Catalunya (UPC))\n-----
 ----------------\nMOCHA: Real-Time Motion Characterization via Context Mat
 ching\n\nTransforming neutral, characterless input motions to embody the d
 istinct style of a notable character in real time is highly compelling for
  character animation. This paper introduces MOCHA, a novel online motion c
 haracterization framework that transfers both motion styles and body propo
 rtions from a...\n\n\nDeok-Kyeong Jang (KAIST, MOVIN Inc.); Yuting Ye (Met
 a); Jungdam Won (Seoul National University); and Sung-Hee Lee (KAIST)\n---
 ------------------\nNon-Newtonian ViRheometry via Similarity Analysis\n\nW
 e estimate the three Herschel–Bulkley parameters (yield stress, power law 
 index, and consistency parameter) for shear-dependent fluid-like materials
  possibly with large-scale inclusions, for which rheometers may fail to pr
 ovide a useful measurement. We perform experiments using the unknown ma...
 \n\n\nMitsuki Hamamichi (Aoyama Gakuin University); Kentaro Nagasawa and M
 asato Okada (The University of Tokyo); Ryohei Seto (Wenzhou Institute, Uni
 versity of Chinese Academy of Sciences; Oujiang Laboratory (Zhejiang Lab f
 or Regenerative Medicine, Vision and Brain Health)); and Yonghao Yue (Aoya
 ma Gakuin University)\n\nRegistration Category: Full Access\n\nSession Cha
 ir: Ioannis Karamouzas (University of California Riverside)
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