CV Tag: Robotics

  • Pierre Schumacher receives RIG “Outstanding Doctoral Thesis Award” at the German Robotics Conference 2026

    Pierre Schumacher receives RIG “Outstanding Doctoral Thesis Award” at the German Robotics Conference 2026

    Pierre Schumacher has been selected as one of the two recipients of the “RIG Outstanding Doctoral Thesis Award”, recognizing exceptional doctoral research in robotics in Germany. The award was officially announced during the “RIG Heroes Award Night 2026” at the German Robotics Conference 2026, organized by the Robotics Institute Germany (RIG), in Cologne on March 12.

    Schumacher’s dissertation, “Reinforcement Learning for Muscle-Driven Systems,” was selected from 27 nominations submitted by 16 institutions across Germany. Following an extensive evaluation process, an international selection committee chose two equal awardees, citing Schumacher’s work for its “scientific depth, originality, and impact”.

    Pierre Schumacher conducted his doctoral research at the Max Planck Institute for Intelligent Systems in Tübingen under the supervision of Prof. Georg Martius (University of Tübingen) and Prof. Daniel Häufle (Hertie Institute for Clinical Brain Research) funded by the Cyber Valley Research grant “Learning effcient control of non-linear muscle-driven systems: Morphological computation as guiding principle”. His project was part of the Cluster of Excellence “Machine Learning: New Perspectives for Science” and the Center for Bionic Intelligence Tübingen Stuttgart (BITS). His dissertation, “Reinforcement Learning for Muscle-Driven Systems,” addresses challenges in controlling complex, highly overactuated robotic and biomechanical systems by developing new machine learning methods.

    A central contribution of the work is the development of DEP-RL, a reinforcement learning approach that improves exploration and learning in systems with many redundant actuators, such as musculoskeletal models. Using this method, Schumacher demonstrated efficient learning for tasks involving complex simulated bodies, including a human model with dozens of muscles and animal-inspired locomotion systems.

    Pierre’s research also explored how muscle-like actuation can improve learning performance and robustness in robotic systems. In collaborative studies, Schumacher and colleagues showed that musculoskeletal models can lead to more data-efficient and stable learning in anthropomorphic control tasks. More recent work demonstrated that reinforcement learning can produce natural and robust bipedal walking in musculoskeletal simulations without relying on motion-capture demonstrations.

    Schumacher began his academic path with a trinational bachelor’s degree in physics that took him to universities in France, Luxembourg, and Germany. After completing his B.Sc. in physics in Saarbrücken 2017, he shifted toward computational approaches and pursued a master’s degree at Goethe University Frankfurt in Frankfurt am Main. In 2021, he joined the Max Planck Institute for Intelligent Systems and the Hertie Institute for Clinical Brain Research in Tübingen with Prof. Georg Martius and Prof. Daniel Häufle for his PhD in Computer Science, which he completed in 2025.Schumacher’s expertise has also attracted industry attention: he joined MyoLab, a startup based in New York focusing on musculoskeletal control technologies, last year.

    The RIG Outstanding Doctoral Thesis Award highlights emerging researchers whose doctoral work significantly advances robotics research in Germany. Schumacher’s selection underscores the growing importance of combining machine learning, biomechanics, and embodied intelligence to enable the next generation of adaptive robotic systems.

  • From perception to constrained decisions

    From perception to constrained decisions


    Georg Martius’ project, “Embedding combinatorial reasoning into learning control policies” addressed a practical gap in AI’s basic machinery: connecting data-driven neural networks with decision-making so they can adhere to clear structures, rules, and constraints. The project developed foundations for integrating combinatorial optimization into learning systems. It has potential applications wherever planning and resource allocation are central, such as in robotics and logistics. The project was funded by the Cyber Valley Research Fund and was carried out between 2021 and 2024. 

    Martius’ project addressed a key limitation of today’s machine-learning systems. While neural networks can learn powerful representations from data (for example, from images or sensor signals), many real-world decisions must also follow strict rules, such as budgets, capacities, safety limits, or “must/ must not” constraints. These rule-based decisions are often handled by specialized optimization software, but such tools are traditionally difficult to integrate into learning-based systems.

    Martius’ research created methods that make it easier to combine neural networks with combinatorial optimization components. This enables systems to learn from data while also drawing on proven optimization techniques to make decisions that respect constraints. Rather than replacing classical solvers, the project developed ways to use them as trainable building blocks inside larger learning pipelines.

    The project also explored “neuro-algorithmic” approaches to decision-making and control, investigating how structured algorithms can improve generalization to new problems compared with purely data-driven approaches.

    Overall, the project provides a foundation for building AI systems that connect perception with constraint-aware decision modules. This is an important step toward robust solutions in areas such as robotics, planning, logistics, and resource allocation.

    This project produced the following peer-reviewed publications:  

    Anselm Paulus, Michal Rolínek, Vít Musil, Brandon Amos, and Georg Martius. “CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints”. In: Proceedings of the 38th International Conference on Machine Learning. Vol. 139. Proceedings of Machine Learning Research. PMLR, July 2021, pp. 8443–8453. url: https://proceedings.mlr.press/v139/paulus21a.html. 

    Marin Vlastelica, Michal Rolinek, and Georg Martius. “Neuro-algorithmic Policies Enable Fast Combinatorial Generalization”. In: Proceedings of the 2021 International Conference on Machine Learning (ICML). July 2021. url: https://proceedings.mlr.press/v139/vlastelica21a.html. 

    Marco Bagatella, Mirek Olšák, Michal Rolínek, and Georg Martius. “Planning from Pixels in Environments with Combinatorially Hard Search Spaces”. In: Advances in Information Processing Systems (NeurIPS 2021). 2021. url: https://openreview.net/forum?id=XgGUUaKgips. 

    Subham Sahoo, Anselm Paulus, Marin Vlastelica, Vít Musil, Volodymyr Kuleshov, and Georg Martius. “Backpropagation through Combinatorial Algorithms: Identity with Projection Works”. In: Proceedings of the Eleventh International Conference on Learning Representations. May 2023. url:  https://openreview.net/forum?id=JZMR727O29. 

    A. Paulus, G. Martius, and V. Musil. “LPGD: A General Framework for Backpropagation through Embedded Optimization Layers”. In: Proceedings of the 41st International Conference on Machine Learning (ICML). Vol. 235. Proceedings of Machine Learning Research. PMLR, July 2024, pp. 39989–40014. url: https://proceedings.mlr.press/v235/paulus24a.html. 

    Georg Martius is a Professor in the Department of Computer Science at the University of Tübingen.

     

    About the Cyber Valley Research Fund

    The Cyber Valley Research Fund was established to support Cyber Valley research groups undertake basic research in the fields of artificial intelligence and robotics. The fund totaled five million euros, including contributions from six of Cyber Valley’s founding corporate partners: Amazon, BMW, Bosch, IAV, Mercedes-Benz, Porsche, and ZF. It supported 20 research projects, the first of which began in 2020, and the final of which will conclude in 2026.

  • Cyber Valley Impulse on Mobility and Aerospace

    Cyber Valley Impulse on Mobility and Aerospace

    Join us for the first event of our new series “Cyber Valley Impulse”. It is dedicated to the role of AI in shaping the future of mobility and aerospace. This event brings together leading scientists, innovative start-ups, corporates, and investors who will share their research, success stories, and AI-driven breakthroughs.

    As part of the Cyber Valley Impulse event series, this edition focuses on the application of intelligent systems in mobility and aerospace. These sectors are rapidly evolving through advances in artificial intelligence, robotics, and data-driven technologies, creating new opportunities and challenges across reseach and industry.  

    A highlight of the event is our research marketplace, an open space to explore emerging AI projects, exchange insights, and connect with entrepreneurs and potential collaborators from academia and industry.

    Program

    15:00: Registration and Check-in

    15:30: Cyber Valley Impulse Welcome

    15:40: Get-Together Circles

    16:30: Science Impulses

    • “Vision-based perception and autonomous control of aerial robots” by Aamir Ahmad, Institute of Flight Mechanics and Controls, University of Stuttgart
    • “ICM – Research and funding opportunities in manufacturing systems & mobility technologies” by Thilo Zimmermann, InnovationCampus Future Mobility (ICM)
    • “Usage of AI in aerospace systems” by Zamira Daw Perez, Institute of Aircraft Systems, University of Stuttgart
    • “Automated driving” by Ulrike Weinrich, Electronics & Mobility, FKFS Research Institute for Automotive Engineering and Powertrain Systems Stuttgart

    17:15: Break

    17:30: Start-up Impulses

    • Anand Waghmare, Yugen Space
    • Frederik Boenke, NUVUS

    17:50: Q&A

    18:15: Science Marketplace and Networking

  • Funded Doctoral Positions at the International Max Planck Research School for Intelligent Systems (IMPRS-IS)

    Funded Doctoral Positions at the International Max Planck Research School for Intelligent Systems (IMPRS-IS)

    The school is a key element of to accelerate basic research and commercial development in artificial intelligence and robotics. IMPRS-IS seeks students who want to earn a doctorate while contributing to world-leading research in areas such as:

    • Artificial Intelligence

    • Biomedical Technology

    • Computational Cognitive Science

    • Computer Vision and Graphics

    • Control Systems and Optimization

    • Data Science and Visualization

    • Haptics and Human-Computer Interaction

    • Machine Learning

    • Micro- and Nano-Robotics

    • Natural Language Processing

    • Neuroscience

    • Perceptual Inference

    • Robotics and Human-Robot Interaction

    • Soft Robotics and Materials

    Renowned faculty include Sahar Abdelnabi, Rediet Abebe, Amirreza Aghakhani, Aamir Ahmad, Buse Aktaş, Frank Allgöwer, Maksym Andriushchenko, Kai Arras, Robert Bamler, Philipp Berens, Matthias Bethge, Michael J. Black, Wieland Brendel, Andrés Bruhn, Andreas Bulling, Martin Butz, Manfred Claassen, Maximilian Dax, Katharina Eggensperger, Benedikt Ehinger, Carsten Eickhoff, Andreas Geiger, Jonas Geiping, Antonia Georgopoulou, Martin A. Giese, Thilo Hagendorff, Moritz Hardt, Florian Hartmann, Daniel Häufle, Matthias Hein, Philipp Hennig, Niels Henze, Christian Holm, Andrea Iannelli, Christoph Keplinger, Mario Krenn, Katherine J. Kuchenbecker, Hilde Kuehne, Anja Lauer, Hendrik Lensch, Anna Levina, Shiwei Liu, Nicole Ludwig, Sabine Ludwigs, Jakob Macke, Georg Martius, Kristof Meding, Celestine Mendler-Dünner, Michael Mühlebach, Philipp Müller, Sven Nahnsen, Mathias Niepert, Seong Joon Oh, Antonio Orvieto, Aniket Pal, Nico Pfeifer, Gerard Pons-Moll, Michael Pradel, C. David Remy, Kerstin Ritter, Philipp Rothemund, Konstantin Rusch, Renate Sachse, Samira Samadi, Harry Scells, Dieter Schmalstieg, Syn Schmitt, Bernhard Schölkopf, Sabine Schulte im Walde, Janneke Schwaner, Michael Sedlmair, Thomas Speck, Steffen Staab, Ingo Steinwart, Alexander Verl, Claire Vernade, Ulrike von Luxburg, Daniel Weiskopf, Felix Wichmann, Bob Williamson, Andreas Wortmann, Thomas Wortmann, and Charley Wu.

    Associated faculty include R. Harald Baayen, Franz Baumdicker, Peter Dayan, Jonathan Fiene, Volker Franz, Ksenia Keplinger, Miriam Klopotek, Kay Nieselt, Senya Polikovsky, Peter Pott, Gunther Richter, Cornelia Sindermann, Maria Wirzberger, Isabell Wochner, and Thomas Wolfers.

    About the program:

    Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. The school seeks doctoral students who are curious, creative, and passionate about research to join and help advance human knowledge about intelligent systems.

    • Admitted students can join the program starting in 2026.

    • You will be mentored by an internationally renowned faculty.

    • You will register as a university doctoral student and conduct research.

    • IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities.

    • All aspects of the program are in English.

    • Your doctoral degree will be conferred when you successfully complete your doctoral project.

    • Dedicated staff members will assist you throughout your time as a doctoral student.

    IMPRS-IS is an equal opportunity employer dedicated to excellence through diversity and does not discriminate on the basis of age, race, sex, disability, sexual orientation, national origin, religion, marital status, gender identity, or any other non-job-related criteria. They believe in the importance of a multicultural community of students, faculty, and staff who seek to advance our commitment to diversity and inclusion. IMPRS-IS strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming.

    Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities.

    Application deadline: 

    November 16, 2025 (End of Day, AoE)

    Selection interviews: 

    February 5–13, 2026

    Apply now: 

    https://imprs.is.mpg.de/application

    For more information, please visit https://imprs.is.mpg.de.

  • Cyber Valley unites AI and robotics expertise for the healthcare sector

    Cyber Valley unites AI and robotics expertise for the healthcare sector

    Stuttgart, October 28, 2024 – The Cyber Valley Health Cluster officially launched last Thursday with a public kickoff event in Tübingen. This initiative launched by Cyber Valley aims to unite the forces of science, industry, and start-ups to improve people’s long-term health through artificial intelligence and modern robotics. 

    Collaboration between research and industry for AI-driven health technologies 

    The Cyber Valley Health Cluster aims to integrate research, practice, and technology. It promotes joint projects between AI experts, scientists, and companies to develop innovative solutions for current and future challenges in the healthcare sector. The Health Cluster emphasizes interdisciplinary knowledge exchange, enabling new approaches and solutions that go beyond individual technological advances.  

    Rebecca C. Reisch, Managing Director of Cyber Valley GmbH, highlights the importance of this collaboration: “The Cyber Valley Health Cluster is more than an academic endeavor; it’s a collaborative alliance that encourages exchange between industry, start-ups, and research. The Health Cluster is where AI-based solutions can be developed to address the most pressing challenges in modern medicine and beyond.”

    Strong Cyber Valley Partners and Friends are already on board  

    The Cyber Valley Health Cluster is backed by strong partnerships. Among the already confirmed Cyber Valley Partners are well-known players such as Boehringer Ingelheim, ZEISS, the University of Tübingen, the University of Stuttgart, and the Max Planck Institute for Intelligent Systems (MPI-IS). These partners are investing significantly in the Cyber Valley Community and are playing a central role in the further development of the Health Cluster. 

    In addition, the Cyber Valley Health Cluster is supported by numerous committed Cyber Valley Friends who enrich the network with their expertise and connections. These include Immatics, Cegat, Ovesco, BIOPRO Baden-Württemberg, BioRegio STERN Management, as well as the Medical Innovations Incubator, and the start-ups Osora and Cerebri.  Further candidates are already under consideration.  

    Reisch emphasizes the role of the Cyber Valley Community: “Together with our Partners and Friends, we are creating an environment that drives the development of technologies that are not only groundbreaking but also practical and ethical. Because only by working together do we have the chance to establish Baden-Württemberg and the whole of Germany at the forefront of global AI health innovations.” 

    Long-term goal: a lasting healthcare alliance 

    The Cyber Valley Health Cluster supports start-ups and innovation projects to create real value by generating new jobs and health solutions. Health Cluster participants moreover benefit from extensive connections and new networking opportunities that enable the development of pioneering healthcare solutions and rapid knowledge transfer between research and industry. 

    The long-term goal of the Cyber Valley Health Cluster is to create a lasting and active community, pooling health expertise to enable interdisciplinary teams to tackle global health challenges. Further events and interaction formats are planned for the Cyber Valley Health Cluster in the coming months. 

    About Cyber Valley 

    Cyber Valley is Europe’s largest and leading center for excellence in artificial intelligence and modern robotics. Its mission and public mandate are to advocate for the research, development, application, and acceptance of technologies and methods in the field of intelligent systems. Cyber Valley encourages entrepreneurship by uniting scientific excellence with innovation and technology transfer. In addition, Cyber Valley facilitates critical reflection on the ethical and social implications of AI through public engagement. Cyber Valley envisions a future in which the full potential of intelligent systems is leveraged for the greater good of the world. 

    Media Contact: 

    Laura Neusser 
    Public Outreach Manager 
    Cyber Valley GmbH 
    laura.neusser@cyber-valley.de