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Maker Faire Eu @Rome 2017

December 3, 2017

With prof Federica Pascucci from university of Roma tre and Giovanni Galioto (ph.d. Student of the university of Palermo) and his advisor prof Ilenia Tinnirello and the effort of all the team of we spent the last three days at the Maker Faire in Rome. Our stand was located in the Robotic Aera ( organized by prof Bruno Siciliano) together with university of Pisa, Siena, Napoli, Bologna, ITT and Scuola sant’anna presenting most recents advanced results in the robotic field.

Arianna in the version that integrates cv algorithms with PDR was tested by thousands of people.

Big the appreciation ( na’ figata!!) and the compliments received by the many testers.

The experience for us was very appealing…

Students, researchers, common people, kids, couples from very young age ( the most skilled) to old scary grandfathers and nannies had the possibility of blindfolded walk along the path!!


Prof. Del Re seminar

September 28, 2017

Seminar Announcement

September 27Th, 2017

DIEF –  P2.1 class – 11am

Prof. L. Del RE

Director of the Institute for Design and Control of Mechatronical Systems

Johannes Kepler University, Linz, Austria.


Joint design of model and control for automotive control


Automotive controls usually are based on very complex maps-based structures (a modern Diesel Engine Control Unit includes up to 40.000 labels, which can be scalar variables or maps) and are very difficult to tune. Against this background, very powerful on-line optimization tools like CAMEO have been developed, which automatize but not avoid the tuning effort. In recent years, an increasing trend in direction of model based control with reduced tuning effort has appeared, which still does not encompass the majority of the control function, but potentially could change the whole picture. At the JKU in cooperation with several partners, methods have been developed to approach the problem from a different perspective. Instead of fixing a control structure and tuning the parameters by some optimization method, a combination of a recursive nonlinear system identification and a nonlinear receding horizon optimal control approach which can directly use the parameters of the model has been fixed. The nonlinear identification is based on polynomial NARX models, and uses a combination of DOE based input design, parameter estimation and pruning to produce. The control part is based on a modification of the C/GMRES algorithm by T. Ohtsuka, which has been rewritten for input/output, time discrete nonlinear system and can thus use directly the result of the estimation. The method has been applied to several engines, in this presentation experimental results on a BMW 2.0 L engine will be shown in comparison with the production values and alternatives with other methods. 2017

September 13, 2017


Cane 2.0

June 12, 2017

Let me cite two press articles recently appeared.

They present the prototype solution developed by Prof Rus at CSAIL mit and shown at ICRA in Singapore. I am a coauthor of the paper.

The work was partially supported by ABF.

The First is on The Economist
The second is on the MIT News

Wearable system @MIT

June 1, 2017

Today the group of Professor Rus will present at ICRA in Singapore the following result


January 29, 2017

On Friday February 17th, ’17

Room  P 1.4 (ex FA-1-D)

Engineering Department ‘Enzo Ferrari’

University of Modena and Reggio Emilia

LAURA GIARRE’  will give a seminar entitled 

Past, Present and Future Research and Interests


Past: Starting from some of my recent lines of research and projects (identification, dynamical networks, smart grid, IOT, assistive technologies), I frame them in an unique picture: a Smart City offering new services based on pervasive technologies. Present: I focus my attention to two recent projects for the visually impaired people I am involved into: Arianna Project – a Smartphone-based Navigation System and 5th sense Project – Situational Awareness using spatial navigation and object identification. Future: Possible integration of my competences and international networks with Department research lines.


Prof. Laura Giarré is an engineer and a professor, working at the University of Modena and Reggio Emilia, Department of Engineering, Modena, Italy. Her research interests are primarily in Identification and Networked Systems. Laura Giarré received the Laurea degree in Electronic Engineering from the Università di Firenze, Florence, Italy and the Ph.D. degree in System Engineering from the Università di Bologna, Bologna, Italy, in 1986 and 1992, respectively. She has held visiting positions in the University of California at Santa Barbara (1999 and 2006) and CSAIL, MIT (2015). She was Assistant Professor at Politecnico di Torino, Turin, Italy (1993-1998) and Associate Professor at the Università di Palermo, Palermo, Italy (1998-2016). She has served as Associate Editor of Systems and Control Letters, (1999-2012) and IEEE Transaction on Automatic Control (2012-2015). In 2010 she was vice-chair of SING6, chair of the Challenges ABF MIT Workshop in 2012.2013 e 2015 and General Char of MED’14, in 2014. She is member of the Advisory Board of the Andrea Bocelli Foundation . Since 2011, she has developed a strong interest in assistive technology. She is the co-founder of In.sight, srl.  

glass ceiling

November 16, 2016

I have reported on an excel file the number of professor (FP), associate professor (AP) and researcher (E) in Italy, divided by gender.

I have taken as example three macro sector of engineering (9G:Control+biomedical), (9H:telecommunications and electromagnetism) (9F: Computer Science)

One  macro sector of Mathematics (1A) and one macro sector of Biology (5B)

Clearly in biology and mathematics the number of graduated male and female is almost the same, while in engineering is around the 20%, but in all cases,  you can see that the number of male in  higher position is incredibly higher.

I reported the percentage of female with respect to the total number.

here the data:

Telecomm/electromagnetism 131 6 154 29 114 29
% 4.379562 15.84699 20.27972
control/biomed 121 18 144 41 74 29
% 12.94964 22.16216 28.15534
Computer 155 27 251 42 148 26
% 14.83516 14.33447 14.94253
Math 493 110 495 325 286 289
% 18.24212 39.63415 50.26087
Biology 48 26 87 81 70 100
% 35.13514 48.21429 58.82353