3 accepted papers
Multi-robot systems are often made of physically small robots, meaning obstacles that could be overcome by larger robots pose a greater challenge to them. This paper considers how a group of such robots could self-assemble into bridges to cross large gaps in their environment. We build on previous w…
Modular robotic systems comprise groups of physically connected modules which can be reconfigured to create morphologies that suit an environment or task. One method of reconfiguration is via subtraction, where extraneous modules disconnect from an initial configuration, before being removed by exte…
Recently, a new class of machine learning algorithms has emerged, where models and discriminators are generated in a competitive setting. The most prominent example is Generative Adversarial Networks (GANs). In this paper we examine how these algorithms relate to the Turing test, and derive what - f…