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NIFTi is about human-robot cooperation. About teams of robots and humans doing tasks together, interacting together to try and reach a shared goal. NIFTi looks at how the robot could bear the human in mind. Literally. When determining what to do or say next in human-robot interaction; when, and how. NIFTi puts the human factor into cognitive robots, and human-robot team interaction in particular.   Each year, NIFTi evaluates its systems together with several USAR organizations. Rescue personnel teams up with NIFTi robots to carry out realistic missions, in real-life training areas. 
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DR 1.4.4: Spatio-temporally grounded situation awareness using a-priori information

Search and Rescue tasks are tackled in NIFTi with a team of robots and human operators. They take place in specific environments outside of research laboratories and require good communication between robots and users. This relies on a common understanding of space. This report presents the results of year 4 development in work package 1 on spatio-temporal modeling for situation awareness and, more specifically, the work, following DR1.3.3, to achieve spatio-temporally grounded conceptual descriptions of USAR sites (MS1.5). We notably continued to integrate multi-modal sensory information both for data fusion and efficient transmission and building up traversability maps for rescue environments. Finally, we worked on functional and conceptual mapping to aid collaborative exploration in unstructured environments with adaptive spatial beliefs.

m48-DR1.4.4-PUBLIC.pdf — PDF document, 43283Kb

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