Real-Time Visual Localisation in a Tagged Environment
This addresses safety and productivity issues for warehouse operators and managers, but appears incremental as it builds on existing visual elements.
The paper tackled the problem of ensuring human operator safety in robotized warehouses without shutting down robots, by developing a visual localization method using existing warehouse elements, resulting in modified robot trajectories to avoid interference.
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.