Abstract
The research activities will be oriented to the development of AI algorithms applied to robotic architectures with the aim to optimize robot performance in the real environment. Primary importance will be devoted to scene understanding and decision making in front of potentially conflicting scenarios, to optimize visually guided navigation tasks. The strategies developed will be demonstrated through pilot and use cases in simulations and in real experiments. The required competencies are in applications of robotics and in the adoption of AI techniques for robotics.
https://youtu.be/dNyUeop_Ihc
Keywords
artificial intelligence
robotics
ERC sector(s)
PE Physical Sciences and Engineering
Name supervisor
Giovanni Muscato
E-mail
giovanni.muscato@unict.it
Name of Department/Faculty/School
Dipartimento di Ingegneria Elettrica Elettronica e Informatica
Name of the host University
University of Catania (UNICT)
EUNICE partner e-mail of destination Research
eunice@unict.it
Country
Italy
Thesis level
Master
Minimal language knowledge requisite
English B1
Thesis mode
On-site
Length of the research internship
6 months
Financial support available (other than E+)
No