Title
Modeling collision avoidance behavior for virtual humans
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 Locanthrope project [12]. We also show how our model extends to complex scenarios with multiple agents interacting with each other and avoiding nearby obstacles.
Year
DOI
Venue
2010
10.5555/1838178.1838182
AAMAS
Keywords
Field
DocType
virtual human,multi-robot planning,collision avoidance behavior,recent work,new model,new parameter,new trajectory planning algorithm,multiple virtual agent,multiple agent,model human trait,better model,robotics,simulation
Computer science,Collision,Human motion,Artificial intelligence,Robotics,Trajectory planning
Conference
ISBN
Citations 
PageRank 
0-98265-712-9
24
1.06
References 
Authors
14
3
Name
Order
Citations
PageRank
Stephen J. Guy179040.68
Ming Lin27046525.99
Dinesh Manocha39551787.40