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Ugo Pattacini
Ugo Pattacini's foto

Ugo Pattacini

Post-Doc

RBCS / Cognitive Humanoids Lab

Address Via Morego,30
City Genoa
ZIP Code 16163
Country Italy
Phone +39 010 71781-420
Fax +39 010 7170-817

Bio

Ugo Pattacini was born in Foggia in 1977. He graduated in Electronic Engineering (cum laude) at University of Pisa in 2001, with a thesis on the design and realization of an optic-fiber micromachined accelerometer with integrated light sensor. In the period between 2001 and 2003 he worked at Racing Department of Magneti Marelli in Milan as SW developer for Formula 1 applications, dealing with the design and the implementation of integrated telemetry drivers and proprietary hard-constrained real-time operating systems for electronic control units of Toyota, Renault and Ferrari F1 cars. In 2004 he joined Toyota F1 team in Cologne, playing active role in the embedded software development of TF104, TF105 and TF106 car projects, focusing his activities on the vehicle dynamics and torque-based traction control strategies. In 2006 he moved to the Earth Observation Business Unit of Thales Alenia Space in Rome where he was concerned with the specifications design and trade-off analyses of the satellite data acquisition system for COSMO-SkyMed (ASI) and GMES (ESA) scientific programs.

From 2008 to 2010 he carried out his PhD studies at Istituto Italiano di Tecnologia on the synthesis and implementation of modular cartesian controllers for humanoid robots. Currently, he holds a post-doctoral position at IIT where he is mainly involved in the development of the iCub platform pursuing a methodology that aims to combine the good performance provided by traditional model-based approaches with the capabilities to adapt to changing environment's conditions showed by the most recent learning-oriented techniques.

Ugo Pattacini has a deep background in control of dynamical systems, real-time software programming of complex distributed architectures and model-based development techniques with automatic code generation through fast-prototyping packages.

 

Projects

RobotCub: ROBotic Open-architecture Technology for Cognition, Understanding and Behavior (EC-FP6). The main goal is to study cognition through the implementation of a humanoid robot with the size of a 3.5 year old child: the iCub. The project is meant to be open in many different ways: the platform is distributed openly, so as the software, and the project is open to including partners forming collaboration worldwide.

CHRIS: Cooperative Human Robot Interaction Systems (EC-FP7). The CHRIS project addresses the fundamental issues which would enable safe Human Robot Interaction (HRI).

EFAA: Experimental Functional Android Assistant (EC-FP7). The EFAA project will contribute to the development of socially intelligent humanoids by advancing the state of the art in both single human-like social capabilities and in their integration in a consistent architecture.

Other Publications

International Journals

Boucher J.D., Pattacini U., Lelong A., Bailly G., Elisei F., Fagel S., Dominey P.F. & Ventre-Dominey J. 2012, ‘I reach faster when I see you look: gaze effects in human-human and human-robot face-to-face cooperation’, Frontiers in Neurorobotics, vol. 6.

Book and Book Chapters

Natale L., Nori F., Metta G., Fumagalli M., Ivaldi S., Pattacini U., Randazzo M., Schmitz A. & Sandini G. 2012, ‘The iCub platform: a tool for studying intrinsically motivated learning’, in Marco G. and M. Baldassarre (ed.),Intrinsically motivated learning in natural and artificial systems, Springer-Verlag, Berlin.

Full Papers at Refereed Conferences

Luvizotto A., Rennó-Costa C., Pattacini U., & Verschure P. 2011, ‘The encoding of complex visual stimuli by a canonical model of the primary visual cortex: temporal population coding for face rognition on the iCub robot’,  IEEE International Conference on Robotics and Biomimetics, Phuket Island, Thailand, December 07-11, 2011.

Ciliberto C., Pattacini U., Natale L., Nori F. & Metta G. 2011, ‘Reexamining Lucas-Kanade Method for Real-Time Independent Motion Detection: Application to the iCub Humanoid Robot’,  IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, USA, September 25-–30, 2011.

Lallée S., Pattacini U., Boucher J.D., Lemaignan S., Lenz A., Melhuish C., Natale L., Skachek S., Hamann K., Steinwender J., Sisbot E.A., Metta G., Alami R., Warnier M., Guitton J., Warneken F. & Dominey P.F. 2011, ‘Towards a Platform-Independent Cooperative Human-Robot Interaction System: II. Perception, Execution and Imitation of Goal Directed Actions’,  IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, USA, September 25-–30, 2011.

Pattacini U., Nori F., Natale L., Metta G. & Sandini G. 2010, ‘An Experimental Evaluation of a Novel Minimum-Jerk Cartesian Controller for Humanoid Robots’,  IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1668-1674,  Taipei, Taiwan, October 18-22, 2010.

Schmitz A., Pattacini U., Nori F., Natale L., Metta G. & Sandini G. 2010, ‘Design, Realization and Sensorization of the Dexterous iCub Hand’,  10th IEEE-RAS International Conference on Humanoid Robots, pp.186-191,  Nashville, TN, December 6-8, 2010.

Gay S., Degallier S., Pattacini U., Ijspeert A. & Victor J.S. 2010, ‘Integration of Vision and Central Pattern Generator Based Locomotion for Path Planning of a Nonholonomic Crawling Humanoid Robot’,  IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.183-189,  Taipei, Taiwan, October 18-22, 2010.

Lallee S., Metta G., Natale L., Pattacini U. & Dominey P.F. 2009, ‘Proprioception of the hand contributes to visual recognition speed and accuracy: Evidence from the Multi-Modal Convergence Map model of Parietal Cortex Area 5’,  Annual Meeting of the Society for Neuroscience, Chicago, USA, October 17-21, 2009.

Awards

First prize at the European Future Technologies Conference and Exhibitions (FET 11), Budapest, Hungary, 4-6 May 2011.

Best conference award at ROBIO2011 with the paper 'The encoding of complex visual stimuli by a canonical model of the primary visual cortex: temporal population coding for face rognition on the iCub robot'.

 

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