Leiden University Student Repository

Hoekstra, Freek (2018)

Learning Visuomotor Robot Control

Master thesis | Physics (MSc)

Deep reinforcement learning has solved the game of Go, along with all other board games. Can it also be applied to real-world use cases? This research combines a literature study and experimental evaluation, focusing on the case of automation for tele-operated robotics. This is necessary because tele-operation of robots is slow and cumbersome. Classical robotics solutions are expensive, and limited in precision, but deep reinforcement learning provides an opportunity for learning visuomotor skills using partial information.

Deep Learning

Robot

Machine Learning

Vision

Control

reinforcement

Author

Hoekstra, Freek

Faculty

Faculty of Science

Specialisation

QMO

Supervisors

Oosterkamp, T.H.
Stap, N. van der

ECTS Credits

3

Language

en