[robotics-worldwide] [jobs] Two PhD positions at the HRII lab of the Italian Institute of Technology (arash.ajoudani@iit.it)

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[robotics-worldwide] [jobs] Two PhD positions at the HRII lab of the Italian Institute of Technology (arash.ajoudani@iit.it)

Arash Ajoudani
The Human-Robot Interfaces and physical Interaction (HRI2) Laboratory (https://urldefense.proofpoint.com/v2/url?u=http-3A__hri.iit.it&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=iwMN2Kx87I0pLAR6Sq_za3b-nnC0CM0LxrnLBU9PfAs&s=oRbgfuEFANJOqY-ihpw2UW-1fKKRhpH_iNxDNLje3Pc&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__hri.iit.it_&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=iwMN2Kx87I0pLAR6Sq_za3b-nnC0CM0LxrnLBU9PfAs&s=dUUW-x92x3uw8QCmxB_U2E_sa8uYJ4BdEaGbICiPKik&e= >)  of the Istituto Italiano di Tecnologia (IIT - an English speaking institute placed in Genoa, Italy) offers two PhD positions in a joint PhD program with the Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano (www.nearlab.polimi.it/medical<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.nearlab.polimi.it_medical&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p
 7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=iwMN2Kx87I0pLAR6Sq_za3b-nnC0CM0LxrnLBU9PfAs&s=vfxf8xpXJHifRrs-LdkW8bXAkWh3lcGFKHXTIwJ3cF4&e= >).



Research will be conducted in part at IIT on the topics of

[theme-1]: Ergonomic Human-Robot Interaction and

[theme-2]: Loco-Manipulation control of the Mobile Collaborative Robot Assistant (MOCA) for Industrial Applications (see details of the theme below).



Successful candidates will have access to several robotic platforms such as Mobile Collaborative Robot Assistant (MOCA), KUKA LBR VI+, Panda, etc.



Requirements: We are seeking for highly motivated candidates with an excellent master degree in robotics, mechanical, biomedical, or control engineering, or related fields. A good level of software programming (C++ and MATLAB) proficiency is required.



Application Procedure: In order to apply for these positions it is mandatory to refer to the procedures required by the Politechnico di Milano. The official notice and the procedure for admissions is available at this link: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.dottorato.polimi.it_entra-2Dal-2Ddottorato_concorso-2Ddi-2Dammissione-2De-2Dborse-2Ddi-2Dstudio_bandi_bandi-2Daggiuntivi-2Dxxxv-2Dciclo_&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=iwMN2Kx87I0pLAR6Sq_za3b-nnC0CM0LxrnLBU9PfAs&s=9vcsOQFjd8XbagGOx1uo3Vq_wp5e9UU8QzGWQLnQmqY&e= 



Interested applicants should follow the admission instructions, and additionally submit their CV electronically outlining experience and qualifications, list of publications, a statement of research interests and plans and the names of at least two referees to Dr. Arash Ajoudani ([hidden email]<mailto:[hidden email]>) and Dr. Elena De Momi ([hidden email]<mailto:[hidden email]>), quoting PhD2020-I in the email subject.



Please apply before November 28, 2020.



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Theme 1: Dynamics-Aware Human Models for Ergonomic Human-Robot Collaboration

Musculoskeletal disorders are the single largest category of work-related diseases in many industrial countries, and are associated with very large costs in lost productivity and absenteeism due to sickness. In high-volume production facilities, large parts of the workstation should ideally be adapted to the workers to prevent such injuries. However, in smaller production lines, especially found in small and medium enterprises, the regular adaptation of the entire workstation due to the high flexibility needs is a major challenge. A solution to the problem is the development of reconfigurable human-robot collaboration (HRC) workstations and frameworks. These are key to enable agile manufacturing by merging human dexterity, flexibility and problem-solving ability with robotics strength and precision. In this direction, This PhD theme aims to create a framework that enables real-time adaptation to human dynamic factors and intentions. The focus will be on the development of real-time h
 uman dynamic models to track dynamic states and human ergonomic factors. Consequently, robot responses will be formed to assist the worker to perform the intended tasks in configurations in which the risks of injuries are minimum. MOCA robot from IIT (mobile collaborative robot assistant) will be used in the experiments.



Link: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.dottorato.polimi.it_fileadmin_files_dottorato_concorso35_bandiaggiuntivi_feb20_7972-5FBIOING-5FSchedaIIT-5FA-5F-5FHRII-2D1-5F-5F-2D-5FDe-5Fmomi.pdf&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=iwMN2Kx87I0pLAR6Sq_za3b-nnC0CM0LxrnLBU9PfAs&s=cb9moFtbPa5XKVFXN-gLDcX1VaQPlBuQeaPzfwAe8r4&e= 



Theme 2: Loco-Manipulation control of the Mobile Collaborative Robot Assistant (MOCA) for Industrial Applications

The role of automation in logistics and manufacturing has been growing more and more in the last decades. This is due to the increasing demands imposed by the "e-commerce revolution", whose constant progress cannot be responded by the decreasing available workforce in aging societies. To respond to this need, this PhD theme will aim to create a collaborative robotic framework for a mobile robotic manipulator (MOCA) for effective and autonomous control of robot locomotion and manipulation. The focus will be on the whole-body control of navigation and physical interaction in mixed human-robot environments. From one side, navigation systems must be human-aware and safe, but from the other, must be fast enough to comply with the requirements of dynamically changing environments.



Link: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.dottorato.polimi.it_fileadmin_files_dottorato_concorso35_bandiaggiuntivi_feb20_7973-5FBIOING-5FScheda-5F-2DIIT-5FA-5F-5FHRII-2D2-5F-5F-2D-5FDe-5FMomi.pdf&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=iwMN2Kx87I0pLAR6Sq_za3b-nnC0CM0LxrnLBU9PfAs&s=Vnm_9RUpwp2FIvzbK9fnkWpK91KQ73Er7nauwNWYK9Q&e= 
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Arash Ajoudani, PhD.
Tenure Track Researcher
Head of HRI2<https://urldefense.proofpoint.com/v2/url?u=http-3A__hri.iit.it_&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=iwMN2Kx87I0pLAR6Sq_za3b-nnC0CM0LxrnLBU9PfAs&s=dUUW-x92x3uw8QCmxB_U2E_sa8uYJ4BdEaGbICiPKik&e= > Laboratory
Istituto Italiano di Tecnologia (IIT)
Via Morego 30, 16163, Genova, Italy
Webpage: https://urldefense.proofpoint.com/v2/url?u=https-3A__iit.it_people_arash-2Dajoudani&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=iwMN2Kx87I0pLAR6Sq_za3b-nnC0CM0LxrnLBU9PfAs&s=hrff7KIhd7EKug4llNOor_zHvIM2rZG1CPGKXe5cLls&e= 


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