2016
Classifying swarm behavior via compressive subspace learning
ICRA 2016
Bio-inspired robot swarms encompass a rich space of dynamics and collective behaviors.Given some agent measurements of a swarm at a particular time instance, an important problem is the classification of the swarm behavior.This is challenging in practical scenarios where information from only a smal