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Markus KnauerMK

Markus Knauer

Research Scientist for Physical AI

€1,500/day
München, DE
8-15 years

Average response time: 1 hour

About Markus

Research Scientist and Ph.D. candidate at DLR / TUM with 5+ years of experience designing and deploying foundation-model-based robotic systems. First author on 7 publications in top venues (RA-L, ICRA, IROS, CoRL) spanning VLM/VLA-driven robot skill learning, interactive learning from demonstration, and continual learning. Co-developer of BlenderProc, a scalable open-source training-data pipeline (3,300+ GitHub stars). Experienced in cross-team collaboration with industry partners and EU consortia.
  • English

    Fluent

  • German

    Native or bilingual

Can work on-site
München (up to 50km)

Experience

  • German Aerospace Center (DLR)
    Research Scientist
    RESEARCH
    November 2020 - Today (5 years and 9 months)
    Munich Metropolitan Area, Germany
    • • 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.
    Robotics Python data-efficient Machine learning VLM/VLA
  • Technical University of Munich
    Teaching Assistant
    RESEARCH
    October 2024 - Today (1 year and 10 months)
    Munich, Germany
    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
    Machine learning VLM/VLA Teaching Interactive learning Imitation learning
  • German Aerospace Center (DLR)
    Masters Student
    RESEARCH
    November 2019 - September 2020 (10 months)
    Munich, Germany
    Working student, German Aerospace Center (DLR), Institute of Robotics
    and Mechatronics, Department: Perception and Cognition,
    Oberpfaffenhofen, Germany.
    Developed computer vision and deep learning solutions for robotic
    perception. Designed neural network architectures for online learning
    applications.
    Co-developed BlenderProc, a scalable open-source photorealistic
    rendering pipeline for generating large-scale synthetic training data
    (3,300+ GitHub stars, published at RSS 2020 and JOSS 2023)

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Education

  • Doktor / PhD
    Technical University of Munich (TUM)
    Doctoral candidate/Ph.D. (Dr. rer. nat.) in Computer Science, Major: Machine Learning, Artificial Intelligence, TUM School of Computation, Information and Technology (CIT), Technical University of Munich (TUM), Germany with Prof. Dr.-Ing. Alin Albu-Schäff
  • Probabilistic Machine Learning
    Pembroke College, University of Cambridge
    2025
    Probabilistic Machine Learning

Skill set

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