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Projective Multi-Agent Dynamics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We introduce a crowd simulation method that uses a block coordinate descent solver reminiscent of projective dynamics approaches. Existing projective dynamics work focuses on simulating deformable materials - which makes us the first to incorporate crowds into such framework. We simulate agents as nodes in a mass-spring system, where springs are created dynamically to simulate different crowd phenomena. We propose novel projective solutions for such springs to emulate time-to-collision avoidance behaviors. Our method encapsulates the collective response of the crowd using implicit Euler integration, while a conjugate gradient solver efficiently resolves the resulting mass-spring linear system to enable the simulation of large-scale, emergent crowd behaviors.

Original languageEnglish (US)
Title of host publicationProceedings MIG 2025 - 18th ACM Conference on Motion, Interaction and Games
EditorsRobert W. Sumner, Fabio Zund, Sophie Jorg, Nuria Pelechano
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400722363
DOIs
StatePublished - Dec 2 2025
Externally publishedYes
Event18th Annual ACM SIGGRAPH Conference on Motion, Interaction, and Games, MIG 2025 - Zurich, Switzerland
Duration: Dec 3 2025Dec 5 2025

Publication series

NameProceedings MIG 2025 - 18th ACM Conference on Motion, Interaction and Games

Conference

Conference18th Annual ACM SIGGRAPH Conference on Motion, Interaction, and Games, MIG 2025
Country/TerritorySwitzerland
CityZurich
Period12/3/2512/5/25

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Human-Computer Interaction
  • Education

Keywords

  • Crowd Simulation
  • Physics-Based Simulation
  • Projective Dynamics

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