@article {2189, title = { Development and Testing of a Multimodal Acquisition Platform for Human-Robot Interaction Affective Studies}, journal = {Journal of Human robot Interaction }, volume = {3}, year = {2014}, pages = {1-24}, keywords = {Robotics}, doi = { http://dx.doi.org/10.5898/JHRI.3.2.Lazzeri}, url = {http://humanrobotinteraction.org/journal/index.php/HRI/article/view/142/pdf_3}, author = {Lazzeri, N. and D. Mazzei and D. De Rossi} } @conference {2185, title = {I-CLIPS Brain: A Hybrid Cognitive System for Social Robots }, booktitle = { Living Machines 2014}, year = {2014}, pages = {213-224}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, address = { Milan, Italy, July 30 {\textendash} August 1}, abstract = {

Sensing and interpreting the interlocutor{\textquoteright}s social behaviours is a core challenge in the development of social robots. Social robots require both an innovative sensory apparatus able to perceive the {\textquotedblleft}social and emotional world{\textquotedblright} in which they act and a cognitive system able to manage this incoming sensory information and plan an organized and pondered response. In order to allow scientists to design cognitive models for this new generation of social machines, it is necessary to develop control architectures that can be easily used also by researchers without technical skills of programming such as psychologists and neuroscientists. In this work an innovative hybrid deliberative/reactive cognitive architecture for controlling a social humanoid robot is presented. Design and implementation of the overall architecture take inspiration from the human nervous system. In particular, the cognitive system is based on the Damasio{\textquoteright}s thesis. The architecture has been preliminary tested with the FACE robot. A social behaviour has been modeled to make FACE able to properly follow a human subject during a basic social interaction task and perform facial expressions as a reaction to the social context.

}, keywords = {Robotics}, isbn = {978-3-319-09434-2}, doi = {10.1007/978-3-319-09435-9_19}, url = {http://link.springer.com/chapter/10.1007/978-3-319-09435-9_19}, author = {D. Mazzei and Cominelli, L. and Lazzeri, N. and A. Zaraki and D. De Rossi} } @conference {2187, title = {Recognition and Expression of Emotions by a Symbiotic Android Head}, booktitle = {IEEE-RAS International Conference on Humanoid Robots (HUMANOIDS 2014)}, year = {2014}, pages = {134 - 139 }, publisher = {IEEE}, organization = {IEEE}, address = {Madrid, Spain, November 18 - 20}, keywords = {Bioengineering, Robotics}, doi = {10.1109/HUMANOIDS.2014.7041349}, author = {D. Mazzei and A. Zaraki and Lazzeri, N. and D. De Rossi} } @inbook {1810, title = {Preliminary Implementation of Context-Aware Attention System for Humanoid Robots}, booktitle = {Biomimetic and Biohybrid Systems (Proc. Second International Conference, Living Machines 2013)}, volume = {8064}, number = {Lecture Notes in Computer Science}, year = {2013}, pages = {457-459}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, abstract = {

A context-aware attention system is fundamental for regulating the robot behaviour in a social interaction since it enables social robots to actively select the right environmental stimuli at the right time during a multiparty social interaction. This contribution presents a modular context-aware attention system which drives the robot gaze. It is composed by two modules: the scene analyzer module manages incoming data flow and provides a human-like understanding of the information coming from the surrounding environment; the attention module allows the robot to select the most important target in the perceived scene on the base of a computational model. After describing the motivation, we report the proposed system and the preliminary test.

}, keywords = {Bioengineering}, issn = {978-3-642-39801-8}, doi = {10.1007/978-3-642-39802-5_65}, author = {A. Zaraki and D. Mazzei and Lazzeri, N. and M. Pieroni and D. De Rossi} } @inbook {1811, title = {Towards a Believable Social Robot}, booktitle = {Biomimetic and Biohybrid Systems (Proc. Second International Conference, Living Machines 2013)}, number = {Lecture Notes in Computer Science}, year = {2013}, pages = {393-395}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, abstract = {

Two perspectives define a human being in his social sphere: appearance and behaviour. The aesthetic aspect is the first significant element that impacts a communication while the behavioural aspect is a crucial factor in evaluating the ongoing interaction. In particular, we have more expectations when interacting with anthropomorphic robots and we tend to define them believable if they respect human social conventions. Therefore researchers are focused both on increasingly anthropomorphizing the embodiment of the robots and on giving the robots a realistic behaviour.This paper describes our research on making a humanoid robot socially interacting with human beings in a believable way.

}, keywords = {Bioengineering}, issn = {978-3-642-39801-8}, doi = {10.1007/978-3-642-39802-5_45}, author = {Lazzeri, N. and D. Mazzei and A. Zaraki and D. De Rossi} } @conference {1265, title = {HEFES: an Hybrid Engine for Facial Expressions Synthesis to control human-like androids and avatars}, booktitle = {BIOROB2012}, year = {2012}, pages = {195 - 200}, address = {Rome, Italy}, keywords = {Bioengineering}, author = {D. Mazzei and Lazzeri, N. and Hanson, D. and D. De Rossi} } @conference {1272, title = {Development and evaluation of a social robot platform for therapy in autism}, booktitle = {Proc. Annual Int Engineering in Medicine and Biology Society,EMBC Conf. of the IEEE}, year = {2011}, pages = {4515{\textendash}4518}, keywords = {Bioengineering}, doi = {10.1109/IEMBS.2011.6091119}, author = {D. Mazzei and Lazzeri, N. and Billeci, L. and Igliozzi, R. and A Mancini and A. Ahluwalia and Muratori, F. and D. De Rossi} } @conference {1271, title = {The FACE of autism}, booktitle = {Proc. IEEE RO-MAN}, year = {2010}, pages = {791{\textendash}796}, keywords = {Bioengineering}, doi = {10.1109/ROMAN.2010.5598683}, author = {D. Mazzei and Billeci, L. and Armato, A. and Lazzeri, N. and Cisternino, A. and G. Pioggia and Igliozzi, R. and Muratori, F. and A. Ahluwalia and D. De Rossi} }