@conference {2495, title = {Damasio{\textquoteright}s Somatic Marker for Social Robotics: Preliminary Implementation and Test}, booktitle = {Living Machines - The 4th International Conference on Biomimetic and Biohybrid Systems}, year = {2015}, pages = {316-328}, publisher = {Springer}, organization = {Springer}, address = {Barcelona, Spain, 28 - 31 July 2015}, keywords = {Bioengineering}, url = {http://link.springer.com/chapter/10.1007/978-3-319-22979-9_31$\#$page-1}, author = {Cominelli, L. and D. Mazzei and M. Pieroni and A. Zaraki and R. Garofalo and D. De Rossi} } @conference {2512, title = {P2SF: Physically-based Point Spread Function for digital image processing}, booktitle = {Imaging Systems and Applications}, year = {2015}, pages = {IT3A{\textendash}5}, publisher = {Optical Society of America}, organization = {Optical Society of America}, keywords = {Bioengineering}, author = {M. Pieroni and B. Wandell and P. Catrysse and D. De Rossi} } @article {1809, title = {Grand Challenges in Bionics}, journal = {Frontiers in Bioengineering and Biotechnology}, volume = {1}, year = {2013}, keywords = {Bioengineering}, doi = {10.3389/fbioe.2013.00003}, author = {D. De Rossi and M. Pieroni} } @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} }