Multi-View Operator Control Unit to Improve Situation Awareness in USAR Missions

Benoit Larochelle, Geert-Jan Kruijff

In: Proceedings of the 21th IEEE International Symposium on Robot and Human Interactive Communication. IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN-2012) September 9-13 Paris France IEEE Press 9/2012.


In urban search and rescue (USAR) missions, manually controlling robots is difficult, in large part due to low situation awareness (SA) provided by operator control units (OCUs). This paper looks at state-of-the-art OCUs to identify seven fundamental problems to be resolved. Next, the design and implementation of a multi-view multi-modal OCU are presented. This OCU follows a large set of design guidelines and also features novel techniques for a human operator to remotely interact with a man-portable ground robot. The system was evaluated in a high fidelity tunnel accident simulation at a fire fighting training centre. The OCU allowed training and collisions to remain low, while SA was improved. Qualitative observations are also discussed, such that end-users do not often choose the optimal views in the OCU for the tasks at hand.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence