2016
RL-IAC: An exploration policy for online saliency learning on an autonomous mobile robot
IROS 2016poster
In the context of visual object search and localization, saliency maps provide an efficient way to find object candidates in images. Unlike most approaches, we propose a way to learn saliency maps directly on a robot, by exploring the environment, discovering salient objects using geometric cues, an…