Nikolaus Feith

Nikolaus Feith is a Doctoral Student at the Chair for CPS at Montanuniversität Leoben, supervised by Univ.-Prof. Dr. Elmar Rueckert since July 2022. He holds a Master’s degree in Mining Mechanical Engineering from the same university, completed in June 2022. His research focuses on integrating human expertise into robotic systems through Interactive Machine Learning.

Education:

• Master’s degree in Mining Mechanical Engineering, Montanuniversität Leoben (June 2022)

Research Interests: Machine Learning (Interactive Machine Learning, Model-Free Reinforcement Learning), Robot Learning, Optimization (Bayesian Optimization, CMA-ES), Human-Robot Interfaces, Augmented Reality, Embedded Systems in Robotics, and Cyber Physical Systems.

Publications (2024): Explores topics like Bayesian Optimization frameworks for human expertise integration and mixed reality interfaces for robot learning, contributing to robotics and interactive learning systems.

Teaching & Supervision:

• Course: 170.031 Programming in Python (WS23)
• Thesis Supervision:
  • B.Sc. Christoph Andres: ROS2 Interface for FANUC CRX-10iA
  • M.Sc. Christopher Martin Shimmin: Bayesian Optimization for Motorcycle ECU Parameters
  • B.Sc. Marco Schwarz: Generic ROS2 Device Interface (Micro-ROS on ESP32)

Awards: None listed.

Labs/Teams: Part of the CPS research group, focusing on Cyber Physical Systems and robotics applications.