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The evolution of cooperation is a fundamental and enduring puzzle in biology and the social sciences. Hundreds of theoretical models have been proposed, but empirical research has been hindered by the generation time of social organisms and by the difficul ...
Within the field of multi-robot systems, multi-robot search is one area which is currently receiving a lot of research attention. One major challenge within this area is to design effective algorithms that allow a team of robots to work together to find th ...
Aerial Robotics are interesting and useful tools because they have some intrinsic advantages over ground and water based systems, like the possibility to observe things from above or to locomote without being perturbed by obstacles and rough terrain. Howev ...
We present a modified version of the Particle swarm Optimization algorithm in which we adjust the virtual swarm search by incorporating inter-agent dynamics native to multi-robot search scenarios. The neighborhood structure of PSO is modified to accurately ...
Aerial Robotics are interesting and useful tools because they have some intrinsic advantages over ground and water based systems, like the possibility to observe things from above or to locomote without being perturbed by obstacles and rough terrain. Howev ...
We describe an incremental approach towards the development of autonomous indoor flyers that use only vision to navigate in textured environments. In order to cope with the severe weight and energy constraints of such systems, we use spiking neural control ...