Ph.D. Student at the Montanuniversität Leoben
Hello, my name is Nikolaus Feith and I started working at the Chair for CPS in June 2021. After finishing my Master’s degree in Mining Mechanical Engineering at the University of Leoben in June 2022, I started my PhD at the CPS Chair in July 2022.
In my PhD thesis, I am investigating the application of human expertise through Interactive Machine Learning in robotic systems.
Research Interests
- Machine Learning
- Interactive Machine Learning
- Model Free Reinforcement Learning
- Robot Learning
- Optimization
- Bayesian Optimization
- CMA-ES
- Human-Robot Interfaces
- Augmented Reality
- Robot Web Tools
- Embedded Systems in Robotics
- Cyber Physical Systems
Teaching & Thesis Supervision
Current & Past Theses
- B.Sc. Thesis – Christoph Andres: Development of a ROS2 Interface for the FANUC CRX-10iA robot arm
- M.Sc. Thesis – Christopher Martin Shimmin: Bayesian Optimization for learning optimal parameters of Electronic Control Units (ECU’s) for Motorcycles
- B.Sc. Thesis – Marco Schwarz: Development of a generic ROS2 Device Interface based on Micro-ROS on a ESP32
Teaching
Contact
M.Sc. Nikolaus Feith
Doctoral Student supervised by Univ.-Prof. Dr. Elmar Rueckert since July 2022.
Montanuniversität Leoben
Franz-Josef-Straße 18,
8700 Leoben, Austria
Phone: +43 3842 402 – 1901 (Sekretariat CPS)
Email: nikolaus.feith@unileoben.ac.at
Web Work: CPS-Page
Chat: WEBEX
Publications
2024 |
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Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement Proceedings Article In: IEEE International Conference on Ubiquitous Robots (UR 2024), IEEE 2024. |  |
Advancing Interactive Robot Learning: A User Interface Leveraging Mixed Reality and Dual Quaternions Proceedings Article In: IEEE International Conference on Ubiquitous Robots (UR 2024), IEEE 2024. |  |