A visual application for studying cooperative behaviours
Ester Martínez-Martín, Eris Chinellato, Angel Pasqual del Pobil · 2007
Studying cooperative behaviour in insect swarms has always been a tedious, difficult task because of the high amount of data that has to be analized. Microengineering has made possible to carry out this kind of experiments by using robotic systems. Some problems have to be overcome for practical applications. For example, a critical issue is trajectory calculation of each colony member, even when they are touching and they are untagged, since the tagging process might change their behaviour yielding wrong results. Here, we present a vision application which is capable of identifying and individually tracking all the different components of a robotic swarm.