Ivana Kruijff-Korbayová

Ivana Kruijff-Korbayová is a senior researcher and project leader in the Language Technology Lab of the German Research Center for Artificial Intelligence in Saarbruecken (DFKI,
www.dfki.de/lt), Germany (since 2008), where she is leading the Talking Robots Group (since
2013) and the DFKI Competence Center for Emergency Response and Recovery Management
(since 2016). She holds a degree in Electrical Engineering from the Czech Technical University
(1992) and a PhD in mathematical linguistics from Charles University (1998), Prague, Czech
Republic. 1999-2000 she held a British Academy Visiting Fellowship and a Royal Society /
NATO Postdoctoral Fellowship for research in discourse semantics at the University of
Edinburgh, U.K. 2001-2010 she held a research position at the Department of Computational
Linguistics and Phonetics, Saarland University, Saarbruecken. Her research includes various
topics in discourse and dialogue modelling and context-sensitive natural language processing
for dialogue systems and human-robot interaction. She has more than 70 peer-reviewed
publications. Since 2013 she coordinated the European integrated projects NIFTi (www.nifti.eu)
and TRADR (www.tradr-project.eu), focused on the cooperation of human-robot teams in
disaster response. On Sept 1 2016 she led the deployment of a TRADR human-robot team in
earthquake-struck Amatrice, Italy.

 

Title:  Communication in Robot-Assisted Disaster Response Teams from a Longitudinal Perspective
Abstract:
Disaster response teams increasingly use mobile robotic systems for the reconnaissance of an incident site, in order to decrease operational risk for the responders and increase their operational capability. We have worked in close cooperation with first responders to investigate human-robot teamwork and develop technology for robot-assisted disaster response in two large-scale integrated projects funded by the EU FP7 program: NIFTi (Natural Human-Robot Cooperation in Dynamic Environments; Jan 2010 – Dec 2013, www.nifti.eu) and TRADR (Long-Term Human-Robot Teaming for Robot-Assisted Disaster Response; Nov 2013 – Dec 2017, www.tradr-project.eu). We have carried out a series of experiments and system tests in realistic scenarios simulating a truck accident in a tunnel, a freight-train accident, an earthquake and an industrial accident. We have also deployed human-robot teams to assist in damage assessment after two major earthquakes in Italy in 2012 and 2016.  I will present how our concept of a human-robot disaster response team has evolved through these experiences and what we have learnt about the needs for human-robot teamwork support. The main tenet is that besides teaming at the micro-level (robot-operator dyad) we need to also consider macro-level teaming (humans in different roles also at different command levels). I will discuss how this is reflected in situation awareness sharing, mission task management and team communication processing.