Real-Time Visual Localisation in a Tagged Environment

TL;DR

This paper presents a real-time visual localisation method for human operators in robotised warehouses, aiming to enhance safety without shutting down robots by using existing visual elements for localisation.

Contribution

It introduces a novel visual localisation approach that leverages current warehouse visual elements to ensure operator safety during interventions.

Findings

Achieves real-time localisation accuracy

Reduces robot interference during human intervention

Utilizes existing visual infrastructure effectively

Abstract

In a robotised warehouse a major issue is the safety of human operators in case of intervention in the work area of the robots. The current solution is to shut down every robot but it causes a loss of productivity, especially for large robotised warehouses. In order to avoid this loss we need to ensure the operator's security during his/her intervention in the warehouse without powering off the robots. The human operator needs to be localised in the warehouse and the trajectories of the robots have to be modified so that they do not interfere with the human. The purpose of this paper is to demonstrate a visual localisation method with visual elements that are already available in the current warehouse setup.