WALL-ET: Assistance in Supermarkets and Warehouses through Social Cognitive Robots

Abstract

This paper and the accompanying demonstration video show our use case of WALL-ET, a social, cognitive, mobile robot platform with a height-adjustable table unit, which assists workers in warehouses or supermarkets when performing unergonomic tasks. With the help of Augmented Reality-glasses and a camera-based activity detection, the system can infer a worker’s intention of lifting boxes from a specified shelf region.