In this communication the emergent behavior of clusters of robots with chaotic kinematics attractors is shown. Even if the aim of the research started from the study of the cooperative behavior of inspection robots, the reported results (including also the role of chaotic synchronization in the generation of the kinematics trajectory), show new aesthetic features of the motion in mechanical control systems.

In this paper, chaos is applied to the control of moving robots in order to generate random-like trajectories needed in tasks such as exploration, scanning natural terrains or mapping of unknown environments. Synchronization between the robots of a team is achieved by exploiting the paradigm of mirror neurons, i.e. a neural structure playing a key role in the process of imitation and behaviour understanding. The experimental results discussed in the paper demonstrate that the introduced approach can be successfully applied to implement an efficient learning system for mobile robots.

The intersection of information technology (IT) and art involves people from different disciplines with varying interests creating a milieu of interdisciplinary collaborations. In this context we explore the intersection of IT and art to understand different entities that are involved in the intersection. We do this by reviewing literature and reflecting and comparing our experiences from participation in five art projects. The objective is to develop a knowledge base at this interdisciplinary domain based on the interplay of the theoretical framework and our practical experience.

In this paper, the idea of using simple robots and nonlinear dynamics based devices is strengthened in order to create an interactive platform to generate artistic patterns incorporating the concept of relating kinematic art with immaterial art paradigm.

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