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ATAL
2010
Springer

Modeling collision avoidance behavior for virtual humans

10 years 5 months ago
Modeling collision avoidance behavior for virtual humans
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 Locanthrope project [12]. We also show how our model extends to complex scenarios with multiple agents interacting with each other and avoiding nearby obstacles. Categories and Subject Descriptors I.2.11 [Distributed Artificial Intelligence]: Multiagent systems General Terms Algorithms, Experimentation, Verification, Performance Keywords Human Motion, Collision Avoidance, Virtual Agents, Simulation, Robotics
Stephen J. Guy, Ming C. Lin, Dinesh Manocha
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where ATAL
Authors Stephen J. Guy, Ming C. Lin, Dinesh Manocha
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