cv

Curriculum vitae.

Basics

Name Paul-Otto Müller
Label Mechatronics Engineer
Email pmueller@sim.tu-darmstadt.de
Summary Mechatronics Engineer with an M.Sc. from TU Darmstadt, specializing in Robotics and Exoskeletons. Experienced in academic research assistance and tutoring in robotics.

Work

  • 2023.04 - today
    Research Assistant
    Technical University of Darmstadt
    Working on the development of an exoskeleton for the rehabilitation of temporomandibular disorders (TMDs). Supervising student theses and projects, lectures, and practical courses in the field of robotics.
    • Developing an exoskeleton for TMD rehabilitation.
    • Supervising student theses and projects.
    • Lecturing and conducting practical courses in robotics.
  • 2023.01 - 2023.02
    Teaching Assistant
    Technical University of Darmstadt
    Experiments and preparations for publishing a paper on visuotactile sensors. Worked on the CANFnet project, which involved high-resolution pixelwise contact area and normal force estimation for visuotactile sensors using neural networks.
    • Scientific paper writing.
    • Experiments with visuotactile sensors and the FRANKA Panda robot.
  • 2021.10 - 2023.02
    Teaching Assistant
    Technical University of Darmstadt
    Tutoring of the lecture Fundamentals of Robotics of the group Simulation, Systems Optimization and Robotics. Consulting hours for students, grading of student exercises, supervising of the forum and working on Turtlebots.
    • Tutored the 'Fundamentals of Robotics' lecture.
    • Provided consulting hours and graded exercises for students.
    • Supervised the course forum and contributed to projects involving Turtlebots.

Volunteer

  • 2021.10 - 2022.09

    Darmstadt, Germany

    Elected student member
    Joint Commission Mechatronics, TU Darmstadt
    The Joint Commission advises and decides on matters concerning the teaching and design of the Mechatronics degree program as such, and consists of various professors, students and scientific staff members.
    • Advised on matters concerning teaching and design of the Mechatronics degree program.
    • Represented student interests within the commission.

Education

  • 2020.10 - 2022.09

    Darmstadt, Germany

    M.Sc.
    Technical University of Darmstadt
    Mechatronics Engineering
    • Robotics
    • Machine Learning
    • Control Theory
    • Computer Vision
  • 2017.10 - 2020.09

    Darmstadt, Germany

    B.Sc.
    Technical University of Darmstadt
    Mechatronics Engineering
    • Fundamentals of Electrical Engineering
    • Fundamentals of Mechanical Engineering
    • Fundamentals of Software Engineering
  • 2009.09 - 2017.06

    Hoesbach, Germany

    Abitur
    Hanns-Seidel-Gymnasium
    General Higher Education Entrance Qualification

Certificates

Voice and Body Coaching: Communicating with Confidence and Accuracy
Technical University of Darmstadt 2025-05-15-16
Breaking Barriers: Mastering Effective Communication and Managing Conflicts
Technical University of Darmstadt 2025-04-29-30

Publications

  • 2026.08.01
    Design and Modeling of a Novel Active Hybrid Exoskeleton for Jaw Motion Assistance
    2026 IEEE RAS/EMBS 11th International Conference on Biomedical Robotics and Biomechatronics (BioRob), Edmonton, Canada
    This work presents the first comprehensive computational framework for hybrid rigid-soft jaw exoskeletons, integrating a 24-muscle biomechanical jaw model with deformable FEM soft-body dynamics in MuJoCo. Simulation-based evaluation under six material and actuation configurations reveals fundamental performance–comfort trade-offs and establishes safety constraints and design prerequisites for physical prototyping of wearable TMD rehabilitation devices.
  • 2026.02.25
    A Novel Powered Jaw Exoskeleton to Treat Temporomandibular Disorders: Design and Control Challenges
    2nd German Robotics Conference (GRC) 2026, Cologne, Germany
    This abstract paper introduces our hybrid rigid-soft jaw exoskeleton and its high-fidelity MuJoCo simulation to the German robotics community. It discusses the key control challenges inherent to such a system, including partial observability, unilateral tendon actuation, and safety-critical constraints, and outlines a planned control framework combining learned latent-state dynamics with constrained differentiable MPC tuned via reinforcement learning.
  • 2025.10.22
    An Optical Measurement System for Open-Source Tracking of Jaw Motions
    2025 IEEE Sensors
    This research introduces an open-source, low-cost optical motion capture system for precisely tracking jaw movements, which is essential for diagnosing masticatory system disorders and developing jaw exoskeletons for rehabilitation. The system demonstrated high precision (182 ± 47 μm and 0.126 ± 0.034°) in experiments with four participants and provides a complete pipeline from data acquisition to analysis and visualization. By making the system publicly available on GitHub, the researchers aim to advance the underexplored field of jaw exoskeleton development and temporomandibular disorder research with an accessible alternative to expensive commercial systems.
  • 2025.07.27
    A Jaw Model Framework for the Development of an Exoskeleton to Treat Temporomandibular Disorders
    The XXX Congress of the International Society of Biomechanics (ISB), Stockholm, Sweden, 2025
    Exoskeletons might provide an intriguing and effective opportunity to enhance and support the rehabilitation of temporomandibular disorders (TMDs) affecting the masticatory system. Three extendable and customizable jaw model variants, including a new approach to modeling the temporomandibular joints (TMJs), are presented to create the research basis and facilitate the design and prototyping of such a device. The code of the framework is publicly available on GitHub.
  • 2025.07.07
    On the Importance of Muscle Activity for an Exoskeleton to Rehabilitate Temporomandibular Disorders
    The 12th International Symposium on Adaptive Motion of Animals and Machines and 2nd LokoAssist Symposium (AMAM / LokoAssist), Darmstadt, Germany, 2025
    This work explores the role of muscle activity in jaw exoskeleton rehabilitation for temporomandibular disorders using virtual modeling with finite element analysis and electromyography data. Results indicate that muscle activity strongly correlates with forces and stresses, providing critical insights not captured by position or force measurements alone, proposing electromyography sensors as additional safety measures for adaptive control in jaw exoskeletons.
  • 2025.05.02
    Exoskeletons for the rehabilitation of temporomandibular disorders: a comprehensive review
    Frontiers in Robotics and AI
    This comprehensive review examines the potential of exoskeletons for treating temporomandibular disorders, highlighting how they could provide controlled and individualized exercise regimens to improve jaw mobility while identifying requirements, scientific challenges, and research gaps that need addressing for further development in this underexplored application area.
  • 2025.04.30
    The Foundation for Developing an Exoskeleton for the Rehabilitation of Temporomandibular Disorders
    2025 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR)
    This research presents an open-source jaw model framework with three complexity variants to support jaw exoskeleton development for temporomandibular disorder rehabilitation, demonstrating successful reproduction of jaw movements and establishing a foundation for future patient-specific modeling and exoskeleton design.
  • 2023.06.02
    CANFnet: High-Resolution Pixelwise Contact Area and Normal Force Estimation for Visuotactile Sensors Using Neural Networks
    Embracing Contacts-Workshop at ICRA 2023
    This paper presents CANFnet, a neural network architecture that transforms raw visuotactile sensor images into high-resolution pixelwise contact area and normal force estimations, demonstrating effective performance on real-time tasks and generalization across similar sensors while providing a plug-and-play solution that eliminates the need for complex material modeling.

Skills

Programming Languages
C/C++
Python
Latex
Machine Learning Frameworks
PyTorch
JAX
Robotics
Control Theory
Reinforcement Learning
Simulation (MuJoCo)
Robot Operating System (ROS)
Exoskeletons and Rehabilitation Robotics
Jaw Exoskeletons
Temporomandibular Disorders (TMDs)
Human-Robot Interaction
Assistive Robotics

Languages

German
Native Speaker
English
Fluent

Interests

Robotics
Optimal Control
Reinforcement Learning
Soft Robotics
Exoskeletons
TMD Rehabilitation
Human-Robot Interaction
Assistive Robotics

References

Professor Oskar von Stryk
Leader of the Simulation, Systems Optimization and Robotics Group at TU Darmstadt.

Projects