Master Thesis - Contact-Aware Visuomotor Policies for Robust Dexterous Object Manipulation

Company: Prehensio GmbH

Time: Feb. 2026 – Present

Description:
Currently assigned to the spin-out Prehensio GmbH as part of my ongoing research position at Fraunhofer IPA.

Skills:
Imitation Learning, Tactility, Flow Matching Models, PyTorch, Teleoperation, ROS2, Python, Computer Vision

Research Project - Dexterous Imitation Learning for Vision-Action Models

Company: Fraunhofer Institute IPA

Time: July. 2025 – Feb. 2026

Description:
- Developed a teleoperation and imitation learning pipeline using 3D camera and data glove in ROS2. - Trained Diffusion Policies to enable robust grasping capabilities in multi-object scenes. - Created a full MoveIt model for safe and reliable motion execution planning. - Applied the resulting policies to industrial automation scenarios.

Skills:
Imitation Learning, Diffusion Models, PyTorch, Teleoperation, ROS2, Python, Computer Vision

Research Assistant

Company: Fraunhofer Institute IPA

Time: Jan. 2025 – July. 2025

Description:
Focus on robots with dexterous hands for complex industrial processes: - Developed object pose estimation and tracking algorithms using a multi-camera setup - Integrated solutions into ROS2 and optimized performance with TensorRT and C++ - Improved robustness and accelerated existing model by 10x for industrial deployment

Skills:
PyTorch, Segmentation, ROS2, Python, Computer Vision, TensorRT, Docker

Bachelor Thesis: AI and Large Language Models

Company: SCHUNK – Hand in Hand for Tomorrow

Time: Mar. 2024 – Sept. 2024

Description:
Evaluation and implementation of a retrieval-augmented generation (RAG) approach for product data search using generative AI.

Skills:
Python, LangChain, Vector DBs, ChatGPT, PyTorch, Docker, Linux

Software Engineer (Working Student)

Company: IDS Imaging Development Systems GmbH

Time: Sept. 2023 – Mar. 2024

Description:
Worked on IDS lighthouse, a cloud-based AI vision studio: - Integrated an autolabelling service for easier and faster dataset creation. - Dockerised all services for easier development, testing and deployment. - Evaluated and integrated new SOTA detection models

Skills:
Python, Docker, Git, TensorFlow, Computer Vision, Segmentierung

Intern – Computer Vision

Company: IDS Imaging Development Systems GmbH

Time: Mar. 2023 – Sept. 2023

Description:
- Built multi-language examples for using the REST API of the NXT camera - Developed a cloud dashboard to monitor user performance - Trained and evaluated an image detection model for a client project - Created an AI-based service for image labeling and segmentation

Skills:
C/C++, Python, TypeScript, React, PyTorch, Docker, REST, TensorFlow

Test Engineer (Working Student)

Company: Bosch

Time: Mar. 2022 – Feb. 2023

Description:
Worked on engineering, testing, and development of hydraulic systems.

Skills:
Engineering, Testing, R&D

Student Assistant

Company: Heilbronn University – Center for Industrial AI

Time: Jun. 2022 – Dec. 2022

Description:
Assisted in hardware prototyping and embedded projects

Skills:
C, C++, Python, Arduino, Raspberry Pi

Master of Science – Autonomous Systems

Institution: University of Stuttgart

Time: Sept. 2024 – Sept. 2026

Description:
- Research project at Fraunhofer IPA on imitation learning of human grasping tasks with a dexterous robotic arm for industrial applications - Benchmark for evaluating SOTA VLMs on logical game related problem-solving challenges - Literature review on Visiomotor Policies and Vision-Language-Action Models for Robotic Manipulation - Literature review on the application of generative AI in large-scale codebases

Skills:
Foundation Models, Computer Vision, Robotics, Deep Learning, Reinforcement Learning, Artificial Intelligence, LLM

Bachelor of Engineering – Mechatronics and Robotics

Institution: Heilbronn University

Time: Nov. 2020 – Aug. 2024

Description:
Bachelor's thesis GPA: 4.0/4.0 Topic: Retrieval-augmented generation (RAG) for product data search with generative AI Seminar: Time series prediction of chaotic double pendulum using neural networks Projects: - Traffic sign recognition with CNN - Chatbot using LSTMs

Skills:
TensorFlow, Machine Learning, Python, Fusion 360, C++, PyTorch, Git, Time Series Analysis, Image Processing, Robotics, MATLAB, CATIA