Teaching

Introduction to Mobile Robotics

Graduate course (TA), Responsible Professor: Wolfram Burgard, Technische Universität Nürnberg (UTN), 2023

This course introduced basic concepts and techniques used within the field of mobile robotics. The course focused on the fundamental challenges for autonomous intelligent systems and presented the state-of-the-art solutions. The course focus lied on probabilistic approaches to robot state estimation. Among other topics, we discussed:

  • Kinematics
  • Sensors
  • Probabilistic modelling
  • Robot localization
  • Mapping
  • SLAM
  • Path Planning
  • Ethics in Robotics

Artificial Intelligence Basic Module

Graduate course (TA), Responsible Professor: Wolfram Burgard, Technische Universität Nürnberg (UTN), 2023

This course introduced basic concepts and techniques used within the field of Artificial Intelligence. The course focused on fundamental methods like search algorithms, propositional and predicate logic, and probabilistic approaches. At the end of the course, also machine learning strategies were covered. Among other topics, we discussed:

  • Problem formalization
  • Finding solutions by searching
  • Board games
  • Logic
  • Decision-making and acting under uncertainty
  • Machine learning
  • Ethics in Artificial Intelligence