Abstract— This work presents a multimodal bottom-up attention system for the humanoid robot iCub where the robot’s decisions to move eyes and neck are based on visual and acous...
Jonas Ruesch, Manuel Lopes, Alexandre Bernardino, ...
We consider a network of remote agent platforms that are tested by roaming spy agents in order to identify those that are malicious, based on the outcome of each agent. It is show...
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
Abstract— In this paper, we present a framework that enables an operator to haptically and visually interact with a dynamic simulation subject to virtual holonomic constraints. T...