Remote Agent: to boldly go where no AI system has gone before
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Planning with natural actions in the situation calculus
Logic-based artificial intelligence
A Reference Test Course for Urban Search and Rescue Robots
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Human - Robot Interaction: Engagement between Humans and Robots for Hosting Activities
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Providing the basis for human-robot-interaction: a multi-modal attention system for a mobile robot
Proceedings of the 5th international conference on Multimodal interfaces
Model-based programming of fault-aware systems
AI Magazine
2003 AAAI robot competition and exhibition
AI Magazine
MAPGEN: Mixed-Initiative Planning and Scheduling for the Mars Exploration Rover Mission
IEEE Intelligent Systems
Introduction to this special issue on human-robot interaction
Human-Computer Interaction
Human-robot interaction in rescue robotics
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Designing the HRTeam framework: lessons learned from a rough-and-ready human/multi-robot team
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Robotic Urban Search and Rescue: A Survey from the Control Perspective
Journal of Intelligent and Robotic Systems
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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.