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Ugo Pattacini



iCub Tech


Via San Quirico,19
+39 010 2898 236
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Ugo Pattacini graduated in Electronic Engineering (cum laude) at the University of Pisa in 2001, with a thesis on the design and realization of an optic-fiber micromachined accelerometer with an 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 an 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 Ph.D. studies at Istituto Italiano di Tecnologia (IIT) on the synthesis and implementation of modular cartesian controllers for humanoid robots. Currently, he is a Technologist researcher at IIT involved in the development of the iCub and R1 platforms, in particular concerning the advancements of the robot motor capabilities.

 profile for Ugo Pattacini on Stack Exchange, a network of free, community-driven Q&A sites 


Humanoid Robotics Control Engineering Optimization Real-Time Systems Software Engineering EdTech


RobotCubROBotic Open-architecture Technology for Cognition, Understanding and Behavior (EU FP6-IST-004370). 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 are open to including partners forming collaboration worldwide.

CHRISCooperative Human Robot Interaction Systems (EU FP7-ICT-215805). The CHRIS project addresses the fundamental issues which would enable safe Human-Robot Interaction (HRI).

EFAAExperimental Functional Android Assistant (EU FP7-ICT-270490). 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.

WYSIWYDWhat You Say Is What You Did (EU FP7-ICT-612139). The WYSIWYD project will create a new transparency in human-robot interaction (HRI) by allowing robots to both understand their own actions and those of humans, and to interpret and communicate these in human compatible intentional terms expressed as a language-like communication channel we call WYSIWYD Robotese (WR).

TACMANTACtile MANipulation (EU FP7-ICT-610967). The TACMAN project addresses the key problem of developing information processing and control technology enabling robot hands to exploit tactile sensitivity and thus become as dexterous as human hands.

Joint Lab created in 2017 in collaboration with Fondazione Don Carlo Gnocchi ONLUS for the design, development, analysis and clinical validation of advanced technologies in the field of robotics, sensors, and new materials, to support patients’ rehabilitation and care.


  • KUKA Innovation Award 2018 Winner along with the IIT team CoAware, Hannover Messe, Germany, 23-27 April 2018.
  • 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 recognition on the iCub robot'.


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