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DTSTAMP:20240214T070242Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T150000
DTEND;TZID=Australia/Melbourne:20231212T151500
UID:siggraphasia_SIGGRAPH Asia 2023_sess120_papers_214@linklings.com
SUMMARY:DiffFR: Differentiable SPH-based Fluid-Rigid Coupling for Rigid Bo
 dy Control
DESCRIPTION:Technical Papers\n\nZhehao Li and Qingyu Xu (University of Sci
 ence and Technology of China), Xiaohan Ye and Bo Ren (Nankai University), 
 and Ligang Liu (University of Science and Technology of China)\n\nDifferen
 tiable physics simulation has shown its efficacy in inverse design problem
 s. Given the pervasiveness of the diverse interactions between fluids and 
 solids in life, a differentiable simulator for the inverse design of the m
 otion of rigid objects in two-way fluid-rigid coupling is also demanded. T
 here are two main challenges to develop a differentiable two-way fluid-sol
 id coupling simulator for rigid body control tasks: the ubiquitous, discon
 tinuous contacts in fluid-solid interactions, and the high computational c
 ost of gradient formulation due to the large number of degrees of freedom 
 (DoF) of fluid dynamics. In this work, we propose a novel differentiable p
 article-based two-way fluid-rigid coupling simulator to address these chal
 lenges. Our purpose is to provide a differentiable simulator for SPH which
  incorporates a unified representation for both fluids and solids using pa
 rticles. However, naively differentiating the forward simulation of the pa
 rticle system encounters gradient explosion issues. We investigate the ins
 tability in differentiating the SPH-based fluid-rigid coupling simulator a
 nd present a feasible gradient computation scheme to address its different
 iability. In addition, we also propose an efficient method to compute the 
 gradient of fluid-rigid coupling without incurring the high computational 
 cost of differentiating the entire high-DoF fluid system. We show the effi
 cacy, scalability, and extensibility of our method in various challenging 
 rigid body control tasks with diverse fluid-rigid interactions and multi-r
 igid contacts, achieving up to an order of magnitude speedup in optimizati
 on compared to baseline methods in experiments.\n\nRegistration Category: 
 Full Access\n\nSession Chair: Jungdam Won (Seoul National University)
URL:https://asia.siggraph.org/2023/full-program?id=papers_214&sess=sess120
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