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About NIFTi
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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This folder holds the following references to publications, sorted by year and author.

There are 98 references in this bibliography folder.

Kruijff, GM, Kruijff-Korbayová, I, Keshavdas, S, Larochelle, B, Janíček, M, Colas, F, Liu, M, Pomerleau, F, Siegwart, R, Neerincx, MA, Looije, R, Smets, NJJM, Mioch, T, van Diggelen, J, Pirri, F, Gianni, M, Ferri, F, Menna, M, Worst, R, Linder, T, Tretyakov, V, Surmann, H, Svoboda, T, Reinštein, M, Zimmermann, K, Petříček, T, and Hlaváč, V (2014).
Designing, developing, and deploying systems to support human–robot teams in disaster response
Advanced Robotics, special issue on Disaster Response Robotics, 28(23):1547-1570.

Streefkerk, J and Heuvelink, A (2014).
Smart questions context-dependent mobile information exchange for military operations
In: Proceedings of the 6th International Conference on Knowledge and Smart Technology.

Cafaro, B, Gianni, M, Pirri, F, Ruiz, M, and Sinha, A (2013).
Terrain Traversability in Rescue Environments
In: Proceedings of the 11th IEEE International Symposium on Safety, Security and Rescue Robotics.

Colin, TR (2013).
Modeling the cognitive state of urban search and rescue robot operators in real time
Master's Thesis, Utrecht University.

Gianni, M, Ferri, F, and Pirri, F (2013).
ARE: Augmented Reality Environment for Mobile Robots
In: Proceedings of the 14th Conference on Towards Autonomous Robotic Systems.

Gianni, M, Gonnelli, G, Sinha, A, Menna, M, and Pirri, F (2013).
An Augmented Reality approach for trajectory planning and control of tracked vehicles in rescue environments
In: Proceedings of the 11th IEEE International Symposium on Safety, Security and Rescue Robotics.

Giele, TRA (2013).
Do fire fighters show emotion in the urban search and rescue domain?
Miscellaneous publication, research project Cognitive Artificial Intelligence, Faculty of Humanities, Utrecht University.

Giele, TRA (2013).
A Framework for Dynamic Task Allocation Instantiated for Cognitive Task Load-based Adaptive Automation
Master's Thesis, Utrecht University.

Horsch, CHG, Smets, NJJM, Neerincx, MA, and Cuijpers, R (2013).
Comparing performance and situation awareness in USAR unit tasks in a virtual and real environment.
In: Proceedings of the 10th International ISCRAM Conference.

Horsch, CHG, Smets, NJJM, Neerincx, MA, and Cuijpers, R (2013).
Revealing unexpected eff ects of rescue robots' team-membership in a virtual environment
In: Proceedings of the 10th International ISCRAM Conference.

Larochelle, B, Kruijff, G, Smets, NJ, and van Diggelen, J (2013).
Experiences with USAR Mobile Interfaces: the Need for Persistent Geo-Localized Information
In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Menna, M, Gianni, M, and Pirri, F (2013).
Learning the dynamic process of inhibition and task switching in robotics cognitive control
In: Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA).

Mioch, T, Giele, TRA, Smets, NJJM, and Neerincx, MA (2013).
Measuring Emotions of Robot Operators in Urban Search and Rescue Missions
In: Proceedings of the 31st European Conference on Cognitive Ergonomics.

Ntouskos, V, Papadakis, P, and Pirri, F (2013).
Discriminative Sequence Back-Constrained GP-LVM for MOCAP Based Action Recognition
In: Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods.

Ntouskos, V, Pirri, F, Pizzoli, M, Sinha, A, and Cafaro, B (2013).
Saliency prediction in the coherence theory of attention
Journal of Biologically Inspired Cognitive Architectures.

van den Heuvel, MJR (2013).
The effects of explicit unknowns on cooperation - An empiric study in urban search and rescue
Master's Thesis, Utrecht University.

van Diggelen, J, Grootjen, M, Ubink, EM, van Zomeren, M, and Smets, NJJM (2013).
Content-based Design and Implementation of Ambient Intelligence Applications
In: Proceedings of the 4th International Symposium on Ambient Intelligence 2013 (ISAmI 2013).

Colin, TR, Smets, NJJM, and Neerincx, MA (2012).
Estimating an operator's cognitive state in real time: a user modeling approach
In: Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication 2012 (Ro-Man 2012), Paris, France.

Gianni, M, Papadakis, P, and Pirri, F (2012).
Shifting and inhibition in cognitive control
In: Proceedings of the IROS 2012 Workshop on Cognitive Neuroscience Robotics.

Horsch, CHG (2012).
Urban search and rescue robots: The influence of team membership of robots on team performance
Master's Thesis, Eindhoven University of Technology.

Kruijff, G (2012).
How Could We Model Cohesiveness in Team Social Fabric in Human-Robot Teams Performing Under Stress?
In: Proceedings of the AAAI 2012 Spring Symposium on AI, The Fundamental Social Aggrega- tion Challenge, and the Autonomy of Hybrid Agent Groups, AAAI.

Kruijff, G and Consortium, tN (2012).
Experience in System Design for Human-Robot Teaming in Urban Search & Rescue
In: Proceedings of the 8th International Conference on Field and Service Robotics (FSR 2012).

Kruijff, G, Colas, F, Svoboda, T, van Diggelen, J, Balmer, P, Pirri, F, and Worst, R (2012).
Designing Intelligent Robots for Human-Robot Teaming in Urban Search & Rescue
In: Proceedings of the AAAI 2012 Spring Symposium on Designing Intelligent Robots.

Kruijff, G, Janicek, M, and Zender, H (2012).
Situated Communication for Joint Activity in Human-Robot Teams
IEEE Intelligent Systems, 27(2):27-35.

Kubelka, V and Reinstein, M (2012).
Complementary filtering approach to orientation estimation using inertial sensors only
In: Proceedings of the 2012 IEEE International Conference on Robotics and Automation (ICRA), pp. 599-605.

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