Habituation is a form of non-associative learning observed in a variety of species of animals. Arguably, it is the simplest form of learning. Nonetheless, the ability to habituate to certain stimuli implies plastic neural systems and adaptive behaviors. This article describes how computational models of habituation can be applied to real robots. In particular, we discuss the problem of the osci...

Mobile autonomous platforms are considered as mobile nodes in a collaborative wireless sensor network to estimate environmental parameters like temperature, humidity, pressure, sunlight and position. These small robots are equipped with cheap and energy efficient sensory module, based on MTS420 environmental sensor board. For a better approximation of the reality, statistical indicators like sa...

Recently, HPC (High Performance Computing) systems have gone from supercomputers to clusters. The clusters are used in all tasks that require very high computing power such as weather forecasting, climate research, molecular modeling, physical simulations, cryptanalysis, etc. The use of clusters is increasingly important in the scientific community, where the need for high performance computing...

This paper considers the problem of path planning for teams of mobile robots. It presents a decoupled and prioritized approach to coordinate the movements of the mobile robots in their environment. Our algorithm computes the paths for the individual robots in the configuration-time space. Thereby it trades off the distance to both static objects as well as other robots and the length of the pat...