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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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A. Carbone and F. Pirri (2010)

Visual Gaze Selection Modeling from Visual Input. Towards Closing the Loop: Active Learning for Robotics

In: Proc. of the 2010 RSS Workshop on Learning for Human-Robot Interaction Modeling.

In this work we present a biologically motivated framework for the modeling of the visual scene exploration preference. We aim at capturing the statistical patterns that are elicited by the subjective visual selection and reproduce them via a computational system.