— This paper deals with the optimization of noisy fitness functions, where the noise level can be reduced by increasing the computational effort. We theoretically investigate th...
We present here the analysis of multimodal data gathered during realistic face-to-face interaction of a target speaker with a number of interlocutors. Videos and gaze of both inte...
Abstract. In this paper we present a mixed-initiative planning approach to humanrobot interaction in a rescue domain. We deploy a model-based executive monitoring system to coordin...
― Self-assembly systems in space are arguably within the reach of today’s technology based on the research and development of self-reconfigurable robots on earth. This paper pr...
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...