Back to list

Giulia Pasquale

Post Doc

Research Line

Humanoid Sensing and Perception

Center

IIT Central Research Labs Genova

Contacts

Via San Quirico 19D, 16126, Genova, IT
+39 010 2898 235
Contact Me

Social profiles

linkedin googlescholar github

About

I am a research engineer with three-year professional experience in robotic and machine vision systems. As evidenced by my achievements, my expertise includes machine learning, computer vision, robotics and parallel computing. My work aims at pushing forward the visual perception capabilities of automated systems (robots and mobile devices) to enable reliable and flexible real-world applications. I like tackling every development aspect, from the study and design, implementation and benchmark, to the deployment and optimization.

I received the B. Sc. Degree in Biomedical Engineering and the M. Sc. Degree in Bioengineering (both with Honours), respectively in 2010 and 2013, at the University of Genoa.
After a short research fellowship at the National Research Council of Italy (IMATI), from 2014 to 2017 I pursued the Ph. D. in Bioengineering and Robotics, at the Istituto Italiano di Tecnologia in collaboration with the University of Genoa, under the supervision of Dr. Lorenzo Natale and Prof. Lorenzo Rosasco.

Since 2017 I am a Postdoctoral Researcher at the Istituto Italiano di Tecnologia, Humanoid Sensing and Perception (HSP) research line. I am also affiliated with the Laboratory for Computational and Statistical Learning (LCSL), University of Genoa, DIBRIS.

My research currently focuses on automatic visual object recognition and localization, including scientific and technological aspects, ranging from data collection and annotation, to robustness and reliability under varying conditions, ultimately targeting efficient and fast learning applications.

Interests

machine learning deep learning computer vision robotics parallel computing

Projects

iCub World Datasets

A large data collection project (website) that aims at benchmarking visual object recognition and localization methods deployed to humanoid robots like the iCub.

As part of my PhD research activity, I substantially contributed to this project by collecting two dataset releases, one of which (iCubWorld Transformations Dataset) is the largest (> 400K images representing 200 objects into 20 categories) and the latest at the moment.

Groups involved: HSP and iCub research lines at the IIT; LCSL lab and SlipGURU research unit at the University of Genoa, DIBRIS.

On-the-fly Object Recognition

A deep learning-based visual object recognition pipeline for humanoid robots.

As part of my PhD research activity, I investigated and deployed deep learning methods to the on-the-fly object recognition pipelines used on the iCub and R1 robots.

The system (and its evolutions) enable quick learning of novel objects with natural user interaction through seamless data collection and fast training (video on iCub, video on R1). This system was exploited, as an example, for the grasping of novel objects (video) and learning of tool affordances (video); it was also deployed to other platforms, like the WalkMan robot, and adopted by the team winner of the Kuka Innovation Award 2018.

Groups involved: HSP and iCub research lines at the IIT; LCSL lab and SlipGURU research unit at the University of Genoa, DIBRIS.

On-the-fly Object Detection

As part of my Postdoctoral research activity, I am collaborating to the extension of the recognition systems used on the iCub and R1 robots to use deep learning methods for detecting, individually localizing and recognizing multiple objects in the scene (video).

Groups involved: HSP and iCub research lines at the IIT; LCSL lab at the University of Genoa, DIBRIS.

On-the-fly Category Learning from the Web

As part of my Postdoctoral research activity, I am collaborating to the extension of the recognition systems used on the iCub and R1 robots to learn novel object categories by gathering knowledge on-the-fly from the web (video).

Groups involved: HSP, iCub and Visual and Multimodal Applied Learning research lines at the IIT.

Awards

2019: Awarded of the Innovator Under 35 (TR35) Italy price by MIT Technology Review.

2014 and 2017: Donation of GPU cards via application to the NVIDIA GPU Grant Program.

2008: Awarded among the best ten students of the Scuola Politecnica, University of Genoa, for the academic year 2007/2008.

INFORMATION NOTICE ON COOKIES

IIT's website uses the following types of cookies: browsing/session, analytics, functional and third party cookies. Users can choose whether or not to accept the use of cookies and access the website. By clicking on "Further Information", the full information notice on the types of cookies will be displayed and you will be able to choose whether or not to accept them whilst browsing on the website
Further Information
Accept and close

I numeri di IIT

L’Istituto Italiano di Tecnologia (IIT) è una fondazione di diritto privato - cfr. determinazione Corte dei Conti 23/2015 “IIT è una fondazione da inquadrare fra gli organismi di diritto pubblico con la scelta di un modello di organizzazione di diritto privato per rispondere all’esigenza di assicurare procedure più snelle nella selezione non solo nell’ambito nazionale dei collaboratori, scienziati e ricercatori ”.

IIT è sotto la vigilanza del Ministero dell'Istruzione, dell'Università e della Ricerca e del Ministero dell'Economia e delle Finanze ed è stato istituito con la Legge 326/2003. La Fondazione ha l'obiettivo di promuovere l'eccellenza nella ricerca di base e in quella applicata e di favorire lo sviluppo del sistema economico nazionale. La costruzione dei laboratori iniziata nel 2006 si è conclusa nel 2009.

Lo staff complessivo di IIT conta circa 1440 persone. L’area scientifica è rappresentata da circa l’85% del personale. Il 45% dei ricercatori proviene dall’estero: di questi, il 29% è costituito da stranieri provenienti da oltre 50 Paesi e il 16% da italiani rientrati. Oggi il personale scientifico è composto da circa 60 principal investigators, circa 110 ricercatori e tecnologi di staff, circa 350 post doc, circa 500 studenti di dottorato e borsisti, circa 130 tecnici. Oltre 330 posti su 1400 creati su fondi esterni. Età media 34 anni. 41% donne / 59 % uomini.

Nel 2015 IIT ha ricevuto finanziamenti pubblici per circa 96 milioni di euro (80% del budget), conseguendo fondi esterni per 22 milioni di euro (20% budget) provenienti da 18 progetti europei17 finanziamenti da istituzioni nazionali e internazionali, circa 60 progetti industriali

La produzione di IIT ad oggi vanta circa 6990 pubblicazioni, oltre 130 finanziamenti Europei e 11 ERC, più di 350 domande di brevetto attive, oltre 12 start up costituite e altrettante in fase di lancio. Dal 2009 l’attività scientifica è stata ulteriormente rafforzata con la creazione di dieci centri di ricerca nel territorio nazionale (a Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) e internazionale (MIT ed Harvard negli USA) che, unitamente al Laboratorio Centrale di Genova, sviluppano i programmi di ricerca del piano scientifico 2015-2017.

IIT: the numbers

Istituto Italiano di Tecnologia (IIT) is a public research institute that adopts the organizational model of a private law foundation. IIT is overseen by Ministero dell'Istruzione, dell'Università e della Ricerca and Ministero dell'Economia e delle Finanze (the Italian Ministries of Education, Economy and Finance).  The Institute was set up according to Italian law 326/2003 with the objective of promoting excellence in basic and applied research andfostering Italy’s economic development. Construction of the Laboratories started in 2006 and finished in 2009.

IIT has an overall staff of about 1,440 people. The scientific staff covers about 85% of the total. Out of 45% of researchers coming from abroad 29% are foreigners coming from more than 50 countries and 16% are returned Italians. The scientific staff currently consists of approximately 60 Principal Investigators110 researchers and technologists350 post-docs and 500 PhD students and grant holders and 130 technicians. External funding has allowed the creation of more than 330 positions . The average age is 34 and the gender balance proportion  is 41% female against 59% male.

In 2015 IIT received 96 million euros in public funding (accounting for 80% of its budget) and obtained 22 million euros in external funding (accounting for 20% of its budget). External funding comes from 18 European Projects, other 17 national and international competitive projects and approximately 60 industrial projects.

So far IIT accounts for: about 6990 publications, more than 130 European grants and 11 ERC grants, more than 350 patents or patent applications12 up start-ups and as many  which are about to be launched. The Institute’s scientific activity has been further strengthened since 2009 with the establishment of 11 research nodes throughout Italy (Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) and abroad (MIT and Harvard University, USA), which, along with the Genoa-based Central Lab, implement the research programs included in the 2015-2017 Strategic Plan.