This paper presents an approach to endow a humanoid robot with the capability of learning new objects and recognizing them in an unstructured environment. New objects are learnt, w...
Dario Figueira, Manuel Lopes, Rodrigo M. M. Ventur...
Facing the prospect of teaching a simulation course for the first time can be a bit overwhelming. This panel shares tips and strategies for teaching simulation based upon a wide v...
Michael Freimer, Lee W. Schruben, Theresa M. Roede...
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Abstract. In this paper we present a new, non-pheromone-based algorithm inspired by the behaviour of biological bees. The algorithm combines both recruitment and navigation strateg...
Nyree Lemmens, Steven de Jong, Karl Tuyls, Ann Now...
Self-adaptation of the mutation strengths is a powerful mechanism in evolution strategies (ES), but it can fail. As a consequence premature convergence or ending up in a local opt...