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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035309Z
LOCATION:Room 325-AB\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221207T170000
DTEND;TZID=Asia/Seoul:20221207T183000
UID:siggraphasia_SIGGRAPH Asia 2022_sess179_papers_580@linklings.com
SUMMARY:Assemble Them All: Physics-Based Planning for Generalizable Assemb
 ly by Disassembly
DESCRIPTION:Technical Communications, Technical Papers, TOG\n\nAssemble Th
 em All: Physics-Based Planning for Generalizable Assembly by Disassembly\n
 \nTian, Xu, Li, Luo, Sueda...\n\nAssembly planning is the core of automati
 ng product assembly, maintenance, and recycling for modern industrial manu
 facturing. Despite its importance and long history of research, planning f
 or mechanical assemblies when given the final assembled state remains a ch
 allenging problem. This is due to the complexity of dealing with arbitrary
  3D shapes and the highly constrained motion required for real-world assem
 blies. In this work, we propose a novel method to efficiently plan physica
 lly plausible assembly motion and sequences for real-world assemblies. Our
  method leverages the assembly-by-disassembly principle and physics-based 
 simulation to efficiently explore a reduced search space. To evaluate the 
 generality of our method, we define a large-scale dataset consisting of th
 ousands of physically valid industrial assemblies with a variety of assemb
 ly motions required. Our experiments on this new benchmark demonstrate we 
 achieve a state-of-the-art success rate and the highest computational effi
 ciency compared to other baseline algorithms. Our method also generalizes 
 to rotational assemblies (e.g., screws and puzzles) and solves 80-part ass
 emblies within several minutes.\n\nRegistration Category: FULL ACCESS, ON-
 DEMAND ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_580&sess=sess17
 9
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