The Machine Learning Approach For Control of Continuous Soft Robot

Research Topic
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
Host Researcher Info
Name Surname
Jakub Bernat
E-mail
jakub.bernat@put.poznan.pl
Name of Department/Faculty/School
Division of Control and Robotics
EUNICE University
Poznan University of Technology (PUT)
Country
Poland
EUNICE contact e-mail
anna.jaskolska@put.poznan.pl
Mobility additional info
Thesis mode
Hybrid
Start date
Length of the research internship
3 months
Financial support available (other than E+)
No
Applicant (Student) info
Current position at home university
Master student
Minimal language knowledge requisite
English B2