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Antonio Andriella

Researcher Scientist @

Pal Robotics

I’m a Research Scientist at Pal Robotics awarded with a Marie Skłodowska-Curie cofund fellowship in the H2020 project PRO-CARED (no.801342) which aims at designing social robots with proactive personalised behaviour during long-lasting interactions. I was an Early Stage Researcher in the Marie Skłodowska-Curie Innovative Training Network (ITN) project called SOCRATES, which focused on Quality of Interaction in Eldercare. Prior to coming to IRII, I worked at Cogisen as AI lead. I was a visiting student at the University of Naples (2021) and University of Hamburg (2018-19).

My main research interests are in the areas of human-robot interaction (HRI) and human-centered design technologies. My work focuses on designing, developing, and evaluating interactive social systems that can be personalised and that can adapt to their users over short-term and long-term interactions, based on individual’s unique needs and goals. I’ve organised workshops on topics realated to trust, ai, ethics and personalisation at HRI, RO-MAN and ICSR conferecences. I’ve served as guest editor of several special issues of journals such as International Journal of Social Robotics, Paladyn Journal of Behaviour and Interaction Studies and as associate editor at IROS 2021-22.

Still not clear what I’m doing? Watch the video below:

Interests

  • Human-Centered Robotics
  • Socially Assistive Robotics
  • Short- and Long-term Personalisation
  • Human-Robot Interaction
  • Reinforcement Learning
  • Automated Planning
  • Experimental Design
  • Proactive Behaviour
  • Mental Models

Education

  • PhD in Control, Robotics and Vision, Ongoing, 2017

    Institut de Robotica i Informatica Industrial, CSIC-UPC

  • MEng in Artificial Intelligence, 2009

    Sapienza, University of Rome

  • BSc in Computer Engineering, 2006

    Sapienza, University of Rome

Latest News

Our article has been published in the User Modeling and User-Adapted Interaction Journal

We are organizing the 2nd edition of TRAITS at HRI 2022

Our article has been published in the Interaction Studies Journal

We are organizing the 1st edition of TRAITS at HRI 2021

Our article has been published in the International Journal of Social Robotics

We are organizing the 2nd edition of QISAR

Experience

 
 
 
 
 

Researcher and PhD Student

Institut de Robotica i Informatica Industrial

Mar 2017 – Present Barcelona, ESP
Developing a reinforcement learning framework to endow robots with adaptive capabilities needed to tailored their levels of assistance to the individual user’s need during cognitive exercises. This includes learning about the user’s progression as well as his level of engagement over time. Investigating also techniques such as Automatic Planning for high-level decision making. Designing and conducting experiments to validate and evaluate the effectiveness of the system.
 
 
 
 
 

Artificial Intelligence Lead

Cogisen

Jan 2012 – Oct 2016 Rome, IT
Worked on developing a set of machine learning algorithms aiming to go beyond the current limitations. The algorithms had been used for gaze tracking technology with RGB cameras as well as for image and video compression. The platform I worked on, allowed for the quick creation of models to capture and follow specific sparse changes of information in the frequency domain.
 
 
 
 
 

Artificial Intelligence Expert

Cogisen

Jan 2010 – Jan 2012 Rome, IT
Worked on the first gaze tracking solution for an F1 simulator at Ferrari. Furthermore, developed a silhouette detection pipeline for a kart simulator for a Ferrari Driver Academy pilot.
 
 
 
 
 

Artificial Intelligence Consultant

Cogisen

Jul 2009 – Jan 2010 Rome, IT
Analysed and evaluated the opportunity to introduce artificial intelligence into the automotive market.
 
 
 
 
 

MEng in Artificial Intelligence

La Sapienza, University of Rome

Jan 2007 – Mar 2009 Rome, IT
Studied the generation of rational behaviors through the planning of actions for teams of robots that follow different objectives. The thesis work consisted of three different activities: i) formalize the domain in Situation Calculus, ii) formulate an approach to find a solution that takes into account both the cooperative aspect of the team as well as the conflict situations, iii) validate the proposed approach in a rescue scenario.
 
 
 
 
 

BSc in Computer Engineering

La Sapienza, University of Rome

Sep 2003 – Dec 2006 Rome, IT
Analysis and evaluation of the object recognition algorithm, SIFT.

Projects

Some ongoing projects

CLOTHILDE: CLOTH Manipulation Learning from DEmonstrations

Summary #During my postdoctoral research at Rutgers University, I focused on using computational approaches to study various facets of …

HuMoUR: Markerless 3D human motion understanding for adaptive robot behavior

The goal of HuMoUR is to develop novel computer vision tools to estimate and understand human motion using a simple camera and use this …

MdM: Unit of Excellence María de Maeztu

The María de Maeztu scientific excellence seal has been awarded to IRI by the Spanish State Research Agency for the period …

SOCRATES: Social Cognitive Robotics in The European Society

SOCRATES is a training program for 15 PhD students, created to develop the field of Social Robotics with an application focus on …

Contact

  • Parc Tecnològic de Barcelona. C/ Llorens i Artigas 4-6, Barcelona, CAT, 08028, Spain
  • Office 19
  • DM Me
  • Skype Me