Linguistic Social Robot Control by Crowd-Computing Feedback

Abstract

While social robots become ever more popular, novel modeling and control methodologies are sought toward optimizing their engagement. This work considers a NAO robot playing games with children. A novel feedback control is proposed using a resultant sentence, induced by crowd-computing techniques, as Reference to be compared with a computer-vision induced sentence toward driving a linguistic controller. Preliminary application results have been encouraging.