• Courses
• Supervised Theses

Teaching

Teaching Award (Lehrpreis) 2017 of the University of Koblenz-Landau for the project and research lab "Robbie".

• Cognitive Robotics
  Lecture
  University of Bonn
  WS 25/26
  Responsible / Shared with Prof. Dr. Maren Bennewitz
  
• Cognitive Robotics
  Lab
  University of Bonn
  since SS 22
  
• Kognitive Robotik
  Projektgruppe
  University of Bonn
  since SS 22
  
• Cognitive Robotics
  Seminar
  University of Bonn
  since SS 22
  
• Multimodal Action Recognition
  Research Internship
  University of Koblenz-Landau, Koblenz
  SS 21 -- WS 21/22
  
• Multimodal Action Recognition
  Project Internship
  University of Koblenz-Landau, Koblenz
  SS 21 -- WS 21/22
  
• Machine Learning for Computer Vision
  Seminar
  University of Koblenz-Landau, Koblenz
  WS 20/21 -- WS 21/22
  
• Autonomous Mobile Robots
  Lecture
  University of Koblenz-Landau, Koblenz
  WS 18, WS 19, WS 20
  Contributions
  
• RoboCup@Home Accompanying Seminar
  Seminar
  University of Koblenz-Landau, Koblenz
  SS 17, SS 18, SS 19
  
• RoboCup@Home
  Project internship
  University of Koblenz-Landau, Koblenz
  WS 16/17 -- WS 18/19
  
• RoboCup@Home
  Research internship
  University of Koblenz-Landau, Koblenz
  WS 16/17 -- WS 18/19
  

Supervised Theses

I have supervised 22 theses (12 M.Sc., 10 B.Sc.).

• 2025
  Language-Conditioned Multitask Manipulation Using Diffusion Models Jonas Bode · M.Sc.
• 2024
  Action Transcript Prediction from Multi-Modal Environments using Vision-Language Models Yihao Wang · M.Sc.
• 2022
  Neural Architecture Search for Skeleton-based Action Recognition Christian Brozmann · M.Sc.
• 2022
  Sign language recognition using convolutional neural networks Matthias Wellstein · B.Sc.
• 2022
  Action Recognition on Egocentric Video Sequences in Natural Environments Katrina Mahlendorf · B.Sc.
• 2021
  Action Recognition on Skeleton Sequences Using Graph Convolutional Neural Networks Ida Germann · B.Sc.
• 2020
  Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification Christian Korbach · M.Sc.
• 2020
  Multimodal Action Recognition using Graph Convolutional Neural Networks Michael Duhme · M.Sc.
• 2020
  Action Segmentation on Representations of Skeleton Sequences using Transformer Networks Simon Häring · M.Sc.
• 2020
  Evaluation verschiedener Netzwerkarchitekturen für Aktionserkennung auf Signalrepräsentationen Alex Weissörtel · B.Sc.
• 2019
  Generative Adversarial Networks for Image Data Augmentation Robin Bartsch · B.Sc.
• 2019
  Adaptives Lernen durch Demonstration mittels Objektinteraktion Tobias Evers · B.Sc.
• 2019
  Imitating Manipulation Tasks Using Generative Adversarial Networks Ivanna Kramer · M.Sc.
• 2019
  Simultaneaous Action and Object Classification in Videos using Convolutional Neural Networks Lukas Debald · M.Sc.
• 2019
  Visual Object Tracking and Prediction Using Recurrent Neural Networks Thies Möhlenhof · M.Sc.
• 2019
  Detection of Human-Object Interactions Jasvinder Kaur · M.Sc.
• 2019
  Reinforcement Learning for Robot Manipulation Tasks Jannis Eisenmenger · B.Sc.
• 2018
  Markerless Action Recognition Gregor Heuer · M.Sc.
• 2018
  Object detection using convolutional neural networks Simon Häring · B.Sc.
• 2018
  Inverse Reinforcement Learning for Robotic Manipulation Tasks Nick Theisen · M.Sc.
• 2018
  Simultaneous Object Localization and Classification based on Semantic Segmentation Lukas Buchhold · B.Sc.
• 2017
  Evaluation von physiotherapeutischen Übungen durch Analyse von Tiefenbildern Niko Schmidt · B.Sc.