17.03.2026

“RIG Outstanding Doctoral Thesis Award” at the German Robotics Conference goes to Tübingen alumnus

Pierre Schumacher’s research bridges machine learning, biomechanics, and robotics

University of Tübingen alumnus Pierre Schumacher has been selected by the Robotics Institute Germany (RIG) as one of two recipients of the "RIG Outstanding Doctoral Thesis Award", recognizing exceptional doctoral research in robotics in Germany. An international committee chose Schumacher’s dissertation, “Reinforcement Learning for Muscle-Driven Systems” for its “scientific depth, originality, and impact”. His research addresses challenges in controlling complex, highly overactuated robotic and biomechanical systems by developing new machine learning methods. Pierre Schumacher conducted his doctoral research at the Max Planck Institute for Intelligent Systems in Tübingen, funded by a Cyber Valley research grant and under the supervision of Dr. Georg Martius, Professor at the University’s Department of Computer Science, and Professor Dr. Daniel Häufle of the Hertie Institute of Clinical Brain Research.

A central contribution of Schumacher’s 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, the junior researcher demonstrated efficient learning for tasks involving complex simulated bodies, including a human model with dozens of muscles and animal-inspired locomotion systems.

Pierre Schumacher’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’s project was part of the Cluster of Excellence “Machine Learning: New Perspectives for Science” and the Center for Bionic Intelligence Tübingen Stuttgart (BITS). After completing his PhD in Computer Science in 2025, Pierre Schumacher has joined MyoLab, a startup based in New York focusing on musculoskeletal control technologies.

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. The award was officially announced during the "RIG Heroes Award Night 2026" at the German Robotics Conference 2026 in Cologne on March 12.

After a Cyber Valley news item

Further information

• Pierre Schumacher’s webpage
• Daniel Häufle’s project page „Muscle-RL: reinforcement learning on biomechanical models"

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