2018
Deep Reinforcement Learning for Audio-Visual Gaze Control
IROS 2018poster
We address the problem of audio-visual gaze control in the specific context of human-robot interaction, namely how controlled robot motions are combined with visual and acoustic observations in order to direct the robot head towards targets of interest. The paper has the following contributions: (i)…