M.Sc. Bajorath Janosch
© Janosch Bajorath
M.Sc. Bajorath Janosch
Researcher at the Autonomous Intelligent Systems Group
Raum 202
Einsteinstr. 62
48149 Münster
T: +49-251-8 33 37 03
j.bajorath@uni-muenster.de
  • Research

    My research is dedicated to enabling decision autonomy in robotic systems. This involves creating robots capable of perceiving, planning, and executing tasks independently, without human supervision.

    Research Interests

    Within this broader vision, my focus is on the control architectures for legged robots, addressing unique challenges such as:

    • Complex and Multiple-DOF Systems: Legged robots exhibit multiple degrees of freedom (DOF) and hybrid discrete states due to their leg movements (e.g., picking up and putting down legs).
    • Dynamic Stability Challenges: These systems are rarely statically stable due to dynamic motion, resulting in non quasi-static movement where the centre of mass is not always above the support polygon. Balancing becomes a key control problem.
    • Uncertain and Dynamic Environments: Operating in highly dynamic environments with uncertain conditions such as rough terrain and variable environmental contexts.

    Current Research Areas

    1. Deep Reinforcement Learning: Developing biologically-inspired, modular and decentralised control systems to improve exploration and generalisation in high-dimensional action spaces.
    2. Simulation to Real-World Transfer: Ensuring robust transfer of learned policies from simulations to real-world scenarios, addressing deviations and uncertainties not captured in simulated environments.
    3. Unsupervised Deep Learning: Deriving low-dimensional state spaces from high-dimensional sensory inputs, integrating temporal and behavioural relevance to enhance reinforcement learning outcomes.
  • CV

    Work Experience

    since 01/05/2024 Research Assistant at the Autonomous Intelligent Systems Group, University of Münster
    01/01/2022 – 31/03/2024 Research Assistant at the Plan-Based Robot Control Group, German Research Facility for Artificial Intelligence (DFKI) Osnabrück 
    01/06/2020 – 31/10/2021 Research Assistant at the Bio-Inspired Computer Vision Group, University of Osnabrück
    01/11/2019 – 30/04/2020 Research Assistant at the Biophysics Lab, University of Osnabrück
    15/11/2016 – 31/12/2017 Student Assistant at the Biophysics Lab, University of Osnabrück

    Education

    since 01/05/2024 Doctoral Student, Computer Science, University of Münster
    01/04/2020 – 31/05/2024 M.Sc., Cognitive Science (Majors: Artificial Intelligence and Robotics), University of Osnabrück
    01/10/2019 – 31/03/2020 B.Sc., Computer Science, University of Osnabrück (discontinued)
    01/10/2016 – 30/09/2019 M.Sc., Bio-Sciences (Molecular and Cell Biology), University of Osnabrück
    01/10/2013 – 30/09/2016 B.Sc., Bio-Sciences, University of Osnabrück

     

  • Teaching and Mentoring Responsibilities 

    • Teaching: Providing guidance and training in research methodologies, including tutoring in Robotics exercise courses, fostering a deep understanding of these subjects for students.
    • Thesis Supervision/ Mentoring: Supervising and mentoring student thesis projects, offering support in research design and execution, and encouraging innovative thinking in areas such as optimisation of robotic movement and biologically-inspired modular control systems in AI.
  • Publications

    Biology Related

    • Drees, C., Rühl, P., Czerny, J., Chandra, G., Bajorath, J., Haase, M., Heinemann, S. H., & Piehler, J. (2021). Diffraction-Unlimited Photomanipulation at the Plasma Membrane via Specifically Targeted Upconversion Nanoparticles. Nano Letters. doi: 10.1021/acs.nanolett.1c02267