E. Martnez, E. Chinellato, and A.P. del Pobil (Spain)
image processing, surveillance systems, swarm robotics
Studying cooperative behaviour in insect swarms has al ways been a tedious, difficult task because of the high amount of data that has to be analized. Microenginee ring has made possible to carry out this kind of experi ments by using robotic systems. Some problems have to be overcome for practical applications. For example, a criti cal 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.
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