In real disaster response deployments to date, robots have been used as fully teleoperated tools. With increasing autonomy, robotic systems should become agents that actively contribute to a mission. For this they need an awareness and understanding of the mission goals, the tasks of the human-robot team and how they are being carried out. Only then can robotic systems fulfill their tasks according to expectations and take initiative in a meaningful way. In order to develop technologies that will enable robots to understand and follow a mission, we employ spoken language processing and process assistance techniques to study and model the necessary collaboration and communication processes. We also develop innovative solutions based on process assistance and knowledge services to use the mission understanding to support efficient and effective performance of robot-assisted disaster response.
Partners
- Stadt Dortmund - Feuerwehr, Institut für Feuerwehr- & Rettungstechnologie (FwDO)
- DRZ e.V. (DRZ e.V.)
- Technische Universität Dortmund, Lehrstuhl für Kommunikationsnetze (TUDO)
- Fachhochschule Dortmund, Fachbereich Maschinenbau (FHDO)
- Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme (IAIS)
- Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie (FKIE)
- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
- Universität Bonn, Institut für Informatik, Autonome Intelligente Systeme (UBO)
- Vereinigung zur Förderung des Deutschen Brandschutzes e.V. (vfdb)
- Minimax Viking GmbH c/o Minimax GmbH & Co. KG (Mx-Vk)
- Westfälische Hochschule Gelsenkirchen, Fachbereich Informatik u. Kommunikation (WHG)
- Technische Universität Darmstadt, Fachgebiet Simulation, Systemoptimierung und Robotik (TUDA)
- Universität zu Lübeck, Institut für Robotik und Kognitive Systeme (UzL)