Abstract
In the work, the machine learning will be applied to control a selected task for continuous soft robot. The work will be made based on the simulations in the robot operating system. The comparison between the different neural network approach like shallow and deep neural network will be required.
Keywords
machine learning
simulation
soft robot
ERC sector(s)
PE Physical Sciences and Engineering
Fields of study
Name supervisor
Jakub Bernat
E-mail
jakub.bernat@put.poznan.pl
Name of Department/Faculty/School
Division of Control and Robotics
Name of the host University
Poznan University of Technology (PUT)
EUNICE partner e-mail of destination Research
anna.jaskolska@put.poznan.pl
Country
Poland
Thesis level
Master
Minimal language knowledge requisite
English B2
Thesis mode
Hybrid
Start date
Length of the research internship
3 months
Financial support available (other than E+)
No