Real-time workspace localisation and mapping for wearable robot

Abstract

This demo showcases breakthrough results in the general field real-time simultaneous localization and mapping (SLAM) using vision and in particular its vital role in enabling a wearable robot to assists its user. In our approach, a wearable active vision system ("wearable robot") is mounted at the shoulder. As the wearer moves around his environment, typically browsing a workspace in which a task must be completed, the robot acquires images continuously and generates a map of natural visual features on-the-fly while estimating its ego-motion.