Geometric and discrete path planning for interactive virtual worlds

Marcelo Kallmann, Mubbasir Kapadia

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

9 Scopus citations

Abstract

Path planning and navigation are indispensable components for controlling autonomous agents in interactive virtual worlds. Given the growing demands on the size and complexity of modern virtual worlds, a number of new techniques have been developed for achieving intelligent navigation for the next generation of interactive multi-agent simulations. This course reviews the evolution of the several related techniques, from classical planning algorithms and computational geometry techniques to more advanced topics with focus on recent developments from the work of the authors. The covered topics range from discrete search and geometric representations to planning under different types of constraints and harnessing the power of graphics hardware in order to address Euclidean shortest paths and discrete search for multiple agents under limited time budgets. The use of planning algorithms beyond path planning is also discussed in the areas of crowd animation and whole-body motion planning for virtual characters.

Original languageEnglish (US)
Title of host publicationACM SIGGRAPH 2016 Courses, SIGGRAPH 2016
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450342896
DOIs
StatePublished - Jul 24 2016
EventACM International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2016 - Anaheim, United States
Duration: Jul 24 2016Jul 28 2016

Publication series

NameACM SIGGRAPH 2016 Courses, SIGGRAPH 2016

Other

OtherACM International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2016
Country/TerritoryUnited States
CityAnaheim
Period7/24/167/28/16

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Keywords

  • Anytime dynamic search
  • Discrete search
  • Navigation
  • Navigation meshes
  • Path finding
  • Path planning
  • Shortest paths

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