Abstract
We present an approach to human-robot interaction in Urban Search and Rescue (USAR) domains based on reactive mixed-initiative planning. A model-based executive monitoring system is used to coordinate the operator’s interventions and the concurrent activities of a rescue rover. In this setting, the user’s and the robot’s activities are coordinated by a continuos reactive planning process. We show the advantages of this approach for both the operator situation awareness and human-robot interaction during rescue missions. We present the implementation of the control architecture on a robotic system (DORO) providing some experimental results obtained from testing in rescue arenas.
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Finzi, A., Orlandini, A. (2005). Human-Robot Interaction Through Mixed-Initiative Planning for Rescue and Search Rovers. In: Bandini, S., Manzoni, S. (eds) AI*IA 2005: Advances in Artificial Intelligence. AI*IA 2005. Lecture Notes in Computer Science(), vol 3673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558590_49
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DOI: https://doi.org/10.1007/11558590_49
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