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POSITIONS 2020/2021

6 SCOLARSHIPS FOR RESEARCH SUBJECTS TO BE DEVELOPED AT THE DEI DEPARTMENT ON THE FOLLOWING AREAS:

• Automatic Control and Operations Research

• Electrical Engineering
• Biomedical engineering

*For more information, see research topics.

2 SCOLARSHIPS FOR RESEARCH SUBJECTS TO BE DEVELOPED AT THE DEI DEPARMENT IN THE FRAMEWORK OF THE "DEPARTMENTS OF EXCELLENCE" INITIATIVE ON

It will be soon online

*For more information about the initiative, see Departments of Excellence.

1 SCHOLARSHIP IN PARTNERSHIP WITH WEBASTO THERMO & COMFORT ITALY** ON

• Instrumentation and methods for the thermal management of electric vehicles

*For more information about high apprenticeship, please visit the Ph.D. apprenticeship programmes page. 

**Ph.D. candidates will be asked to express their interest and availability to perform these research activities during the interview.

1 SCHOLARSHIP IN THE FRAMEWORK OF THE UE H2020 PROJECT "INTEGRATED PLANNING OF MULTI-ENERGY SYSTEMS" - PlaMES

• Topic: Optimization Algorithms for Integrated Planning of Multi-Energy Systems
• Principal Investigator prof. Michele Monaci

2 SCHOLARSHIPS IN THE FRAMEWORK OF THE UE H2020 PROJECT "ROBOTIC TECHNOLOGIES FOR THE MANIPULATION OF COMPLEX DEFORMABLE LINEAR OBJECTS" - REMODEL

Research topic 1: Robotic Manipulation of Deformable Objects

• The main objective of this research is to develop robotic systems able to manipulate deformable objects. The type of objects that will be considered are linear ones, cables and hoses, and cloth-like ones, such as fabrics and clothes in general. The robotic manipulation of these objects covers a wide range of applications in industrial manufacturing, ranging from assembly task in the electromechanical, automotive, aerospace, medical and textile domains. For this reason, this research will be oriented to solve problems of interest for the manufacturing industry, such as switchgear wiring, manufacturing and assembly of wiring harnesses as well as manipulation of catheters for medical applications. The developed methods will be then extended to other kind of deformable object, with particular attention to food manipulation. The research will involve the development of perception algorithms based on visual and tactile data, manipulations strategies to move and shape the objects according to the task specifications and specific grasping tools able to simplify the manipulation of deformable objects. An important aspect in this research will be also the online adaptation to the object characteristics by means of model-based methods or adopting artificial intelligence algorithms such as deep learning and reinforced learning.

Research topic 2: Collaborative Robot Assembly for Industrial Manufacturing. 

• In this research, the main topic will be the execution of assembly tasks of industrial interests in collaboration with humans, detecting their actions and providing them suitable support by exploiting the robot capabilities. A fundamental aspect in this research is to develop an algorithm able to estimate the assembly plan from the product design, detect the actions executed by the human, plan the robot actions accordingly, detect and manipulate the objects of interest properly. This involves the robot needs to be able to perceive the humans and the objects, and adapt its behavior to the specific user and action. The robotic system can be also instructed by the human operator on how to accomplish a certain task. The robot will be provided with a parametric description of action primitives which parameters will be modified according to the instructions received during the teaching phase. These methods will be also applied to bimanual mobile manipulators able to transport objects in a collaborative way, other than to move across different assembly stations to perform different tasks. The safety issues and the problems related to simultaneous motions of the mobile base and the arms will be taken into account.

 Principal investigator: prof. Gianluca Palli