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, ...
In this paper, we present a new recognition system for the fast detection and classification of objects in spatial 3D data. The system consists of two main components: A biologic...
This paper describes a group attention control (GAC) system that enables a communication robot to simultaneously interact with many people. GAC is based on controlling social situ...
Research indicates that impasse-driven learning can have important benefits for improving student mastery of material. When students recognize gaps in their understanding of a con...
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...