Markus Knauer
Research Scientist @ German Aerospace Center (DLR)
About
Most “AI” algorithms never leave the laptop. 🤖What excites me is building systems that work in the real world. I develop methods where robots learn new skills from just a handful of demonstrations, then refine them through multimodal intuitive interactions.My work bridges probabilistic machine learning, foundation models (LLMs/VLMs/VLAs), and computer vision. 🔬The result: systems that run on real hardware, in real time, robust enough to demo live at industry fairs for days straight🦾Looking for ML Engineer, Applied Scientist, or Research Scientist roles that ship.
Germany
Greater Munich Metropolitan Area
Higher Education
University Teaching, Leadership, Data Engineering, Object-oriented Languages, Image Processing, Scikit-Learn, Agentic AI Development, Agentic Workflows, Anthropic Claude, TensorFlow, PyTorch, VLM, VLA, Reinforcement Learning from Human Feedback (RLHF), Supervised Fine-Tuning (SFT), Foundation models, Large Language Models (LLM), Generative AI, Probabilistic machine learning, Gaussian Processes
Experience
Research Scientist
Greater Munich Metropolitan Area
• Specialized in machine learning for robotics, focusing on robot skill learning through imitation and continuous adaptation. • Developed multimodal human-robot interaction techniques using probabilistic machine learning and foundation models. • Showcased innovative solutions at various fairs, demonstrating real-time problem-solving capabilities on actual robots.

Teaching Assistant
Munich
Machine learning in robotics combining safety, explainability and uncertainties from probabilistic machine learning together with semantic reasoning and understanding by foundation models (LLM, VLM, VLA) for robot skill learning and adaptation

Research Associate
Research Centre Allgäu (Forschungszentrum Allgäu)
Kempten (Allgäu) Area, Germany
Digitalization, Industrie 4.0
Education
Markus Knauer's Contact Information
Phone
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