Modeling collision avoidance behavior for virtual humans

Stephen J. Guy, Ming C. Lin, Dinesh Manocha

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

46 Scopus citations

Abstract

In this paper, we present, a new trajectory planning algorithm for virtual humans. Our approach focuses on implicit cooperation between multiple virtual agents in order to share the work of avoiding collisions with each other. Specifically, we extend recent work on multi-robot planning to better model how humans avoid collisions by introducing new parameters that model human traits, such as reaction time and biomechanical limitations. We validate this new model based on data of real humans walking captured by the Lo-canthrope project [12]. We also show how our model extends to complex scenarios with multiple agents interacting with each other and avoiding nearby obstacles.

Original languageEnglish (US)
Title of host publication9th International Joint Conference on Autonomous Agents and Multiagent Systems 2010, AAMAS 2010
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages575-582
Number of pages8
ISBN (Print)9781617387715
StatePublished - Jan 1 2010
Event9th International Joint Conference on Autonomous Agents and Multiagent Systems 2010, AAMAS 2010 - Toronto, ON, Canada
Duration: May 10 2010 → …

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume1
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Other

Other9th International Joint Conference on Autonomous Agents and Multiagent Systems 2010, AAMAS 2010
Country/TerritoryCanada
CityToronto, ON
Period5/10/10 → …

Keywords

  • Collision Avoidance
  • Human Motion
  • Robotics
  • Simulation
  • Virtual Agents

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