Antonio Andriella

Early Stage Researcher and Ph.D Candidate at

Institut de Robotica i Informatica Industrial

I’m a Ph.D candidate at IRI in the Perception and Manipulation Group advised by Dr. Guillem Alenyà and Prof. Carme Torras. Since 2017, I’ve been holding a Marie Skłodowska-Curie Fellowship as part of an Innovative Training Network (ITN) called SOCRATES. The ITN focuses on Quality of Interaction in Eldercare. Prior to coming to IRI, I’ve been working at Cogisen for almost 8 years.

My research interests are in the areas of human-robot interaction (HRI) and human-centered design technologies for older adults with cognitive impairments. My work focuses on designing, developing, and evaluating interactive social systems that personalize and adapt to their users over short-term and long-term interaction, based on individual needs and goals. I believe in the future, robotic systems will be able to take over repetitive tasks such as cognitive and physical training, leaving time for therapists to focus on activities that better leverage their medical skills.

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


  • Human-Centered Robotics
  • Socially Assistive Robotics
  • Long-term Adaptivity
  • Human-Robot Interaction
  • Reinforcement Learning
  • Automated Planning
  • Experimental Design


  • 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

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



Early Stage Researcher and PhD Candidate

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


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


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


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 on 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.


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 …


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