[visionlist] [jobs] PhD fellowships at Istituto Italiano di Tecnologia (IIT) on interactive robotics
Francesco.Rea at iit.it
Tue May 14 04:28:28 -04 2019
In the spirit of the doctoral School on Bioengineering and Robotics the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences (https://www.iit.it/phd-school-docs/phd-2019/685-phd-themes-35-cognitive-robotics-interaction-rehabilitation-technologies).
The fellowships will be assigned to the best applicants and are offered this year by two Units (the Robotics, Brain and Cognitive Sciences Unit - RBCS and the Unit COgNiTive Architecture for Collaborative Technologies - CONTACT) of the Istituto Italiano di Tecnologia in collaboration with colleagues of the Department of Informatics, Bioengineering, Robotics and System's Engineering (DIBRIS) of the University of Genova as part of this curriculum. The following titles represent research topics of interest, but the applicants are welcome to propose other lines of research on the theme of interactive robotics.
*) Make humanoids understand and synthesize human actions (Tutors: Dr. Francesco Rea, Dr. Alessandra Sciutti, Prof. Fulvio Mastrogiovanni )
The general aim of this project will be to provide the humanoid robot iCub with a similar visuo-motor matching skill in order to endow it with a human-like ability to understand human actions and to synthesize movements that are intuitively readable by the human collaborator.
*) Cognitive robotics for shared perception in human robot interaction (Tutors: Dr. Alessandra Sciutti, Dr. Francesco Rea, Prof. Giulio Sandini)
The goal of the research is enabling the humanoid robot iCub to similarly adapt its perception and action to the human partner, in order to establish an efficient interaction, with potential implications for assistive technology for the elderly.
*) The role of Social Signals in Human-Robot Communication (Tutors: Dr. Francesco Rea, Prof. Giulio Sandini)
The first goal of the research is modelling how the humanoid robot iCub could adapt its perception and behavior to the individual needs of the partner during an interaction, with potential implications for communicative technology in different robotics application areas such as automotive and personal. The second goal of the research is to exploit how these models can be transferred to minimalistic robotic designs exploiting social signals.
Requirements: degree in robotics, bioengineering, computer science, computer engineering, or related disciplines, attitude for problem solving, C++ programming. A background on machine learning is an asset.
Contacts: Applicants are strongly encouraged to contact the perspective tutors before they submit their application: alessandra.sciutti at iit.it, francesco.rea at iit.it giulio.sandini at iit.it
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