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<p class="MsoNormal"><span lang="EN-US">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 (<a href="https://www.iit.it/phd-school-docs/phd-2019/685-phd-themes-35-cognitive-robotics-interaction-rehabilitation-technologies">https://www.iit.it/phd-school-docs/phd-2019/685-phd-themes-35-cognitive-robotics-interaction-rehabilitation-technologies</a>).
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">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<span style="color:red">,</span> but the applicants are welcome to propose<span style="color:#1F497D">
</span>other lines of research on the theme of interactive robotics.<span style="color:red">
</span><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">*) <b>Make humanoids understand and synthesize human actions (Tutors: Dr. Francesco Rea, Dr. Alessandra Sciutti, Prof. Fulvio Mastrogiovanni )<o:p></o:p></b></span></p>
<p class="MsoNormal"><span lang="EN-US">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.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">*) <b>Cognitive robotics for shared perception in human robot interaction (Tutors: Dr. Alessandra Sciutti, Dr. Francesco Rea, Prof. Giulio Sandini)<o:p></o:p></b></span></p>
<p class="MsoNormal"><span lang="EN-US">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.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">*) <b>The role of Social Signals in Human-Robot Communication (Tutors: Dr. Francesco Rea, Prof. Giulio Sandini)<o:p></o:p></b></span></p>
<p class="MsoNormal"><span lang="EN-US">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.<o:p></o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Requirements:</span></b><span lang="EN-US"> 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.<o:p></o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Contacts</span></b><span lang="EN-US">: Applicants are strongly encouraged to contact the perspective tutors before they submit their application: alessandra.sciutti@iit.it, francesco.rea@iit.it giulio.sandini@iit.it<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
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