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Emanuele Ruffaldi


Dr. Emanuele Ruffaldi is Assistant Professor at PERCRO Laboratory of the TeCIP Institute of SSSA. He received the Ph.D. in Perceptual Robotics from SSSA in 2006 and the Laurea degree (with honors) in Computer Engineering from the University of Pisa in 2002. Before 2007, Dr. Ruffaldi has been Visiting Researcher at Biorobotics Laboratory at Stanford University and Visiting Scholar at the University College of London. Currently, Dr. Ruffaldi is member of the PERCRO division on Intelligent Automation Systems, where he is leading the group "Sensing, Modelling and Learning for Humans". Dr. Ruffaldi has been WP leader in the EU project SKILLS, and now is principal investigator in the EU H2020 RAMCIP (2015-2017), partner principal investigator and WP leader in the EU FP7 PELARS (2014-2017) and is participating as key researcher in the EU FP7 REMEDI. Dr. Ruffaldi has published 20 papers on International ISI Journal, 10 book chapters, and 90 papers in conference proceedings of which 54 in ACM/IEEE sponsored events. Ruffaldi is the Dissemination Chair of the IEEE TC on Haptics since 2011.

His research interests is in the use of Artificial Intelligence for improving human-robot interaction, human behavior analysis in real and Virtual Environment. In particular, Dr. Ruffaldi activity has been focused on the application of data analysis and processing for the interaction in real and Virtual Environments with the purpose of human skill training. The core of these studies has been the use of machine learning and information connected to human perception.

Contributo su Rivista


The research activity deals with exploring new solutions of Human-Robot Interaction that combine machine intelligence with virtual environment approaches such as haptics and mixed reality. The long term plan is to integrate human behavior anticipation techniques supported by vision and machine learning for proactive interaction. The research is then applied to the areas of activity recognition, tele-presence, robotic rehabilitation and collaboration. Computational of the approach is investigated with the aim of obtaining real-time and power efficient systems in embedded and portable forms.



  • Computer Vision for Humans and Robots 2016-2018 (website)
  • Vision Based Posture Tracking 2015-2018
  • Interaction with Virtual Environments (Master and PhD level) 2012-2016
  • Introduction to Matlab-Simulink 2016
  • Trends in Perceptual Robotics (Telecom Smart Cities Master) 2013-2015
  • How to do Research Lecture on Project Writing 2013-2016


Istituto di Tecnologie della Comunicazione, dell'Informazione e della Percezione

  • Consiglio Istituto TeCIP