Browsing by Subject "I.2.11 [Artificial Intelligence]"

Now showing items 1-4 of 4

    • Holonomic Collision Avoidance for Virtual Crowds 

      Hughes, Rowan; Ondrej, Jan; Dingliana, John (The Eurographics Association, 2014)
      All approaches to simulating human collision avoidance for virtual crowds make simplifications to the underlying behaviour. One of the prevalent simplifications is to ignore it's holonomic aspect (i.e. sidestepping, walking ...

    • Rethinking Shortest Path: An Energy Expenditure Approach 

      Mousas, Christos; Newbury, Paul; Anagnostopoulos, Christos-Nikolaos (The Eurographics Association, 2013)
      Considering that humans acting in constrained environments do not always plan according to shortest path criteria. rather, they conceptually measure the path which minimises the amount of expended energy. Hence, virtual ...

    • SteerBug: An Interactive Framework for Specifying and Detecting Steering Behaviors 

      Kapadia, Mubbasir; Singh, Shawn; Allen, Brian; Reinman, Glenn; Faloutsos, Petros (ACM SIGGRAPH / Eurographics Association, 2009)
      The size of crowds that modern computer games and urban simulations are capable of handling has given rise to the challenging problem of debugging and testing massive simulations of autonomous agents. In this paper, we ...

    • Velocity-Based Modeling of Physical Interactions in Multi-Agent Simulations 

      Kim, Sujeong; Guy, Stephen J.; Manocha, Dinesh (ACM SIGGRAPH / Eurographics Association, 2013)
      We present an interactive algorithm to model physics-based interactions in multi-agent simulations. Our approach is capable of modeling both physical forces and interactions between agents and obstacles, while allowing the ...