Visual servoing with deep reinforcement learning

Motivation

To improve the absolute accuracy of robot arms visual servoing approaches are applied. The goal is to achieve a high 6DoF pose accuracy of a sample mounted at the robot endeffector. A deep reinforcement learning robot model that uses feedback from visual data in order to compensate motion errors of the robot has to be developed.

Topics 

  • Visual servoing
  • Deep reinforcement learning
  • Robot simulation

Skills 

  • Python skills are preferable
  • Computer vision skills are preferable
  • Deep learning skills are preferable

Categories:

Research Sector:

Biomechatronics

Type of thesis:

Bachelor Thesis, Master Thesis, Project Thesis

Major:

Informatics, Engineering, Mechatronics, Medical engineering

Major:

Artificial Intelligence and Machine Learning, Medical engineering, Software Engineering and Deployment

Contact: