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DTSTAMP:20230103T035306Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_580@linklings.com
SUMMARY:Assemble Them All: Physics-Based Planning for Generalizable Assemb
 ly by Disassembly
DESCRIPTION:Technical Papers\n\nAssemble Them All: Physics-Based Planning 
 for Generalizable Assembly by Disassembly\n\nTian, Xu, Li, Luo, Sueda...\n
 \nAssembly planning is the core of automating product assembly, maintenanc
 e, and recycling for modern industrial manufacturing. Despite its importan
 ce and long history of research, planning for mechanical assemblies when g
 iven the final assembled state remains a challenging problem. This is due 
 to the complexity of dealing with arbitrary 3D shapes and the highly const
 rained motion required for real-world assemblies. In this work, we propose
  a novel method to efficiently plan physically plausible assembly motion a
 nd sequences for real-world assemblies. Our method leverages the assembly-
 by-disassembly principle and physics-based simulation to efficiently explo
 re a reduced search space. To evaluate the generality of our method, we de
 fine a large-scale dataset consisting of thousands of physically valid ind
 ustrial assemblies with a variety of assembly motions required. Our experi
 ments on this new benchmark demonstrate we achieve a state-of-the-art succ
 ess rate and the highest computational efficiency compared to other baseli
 ne algorithms. Our method also generalizes to rotational assemblies (e.g.,
  screws and puzzles) and solves 80-part assemblies within several minutes.
 \n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, EXPERIENCE
  ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_580&sess=sess15
 3
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