Robin Uhrich

Robin Uhrich

Machine Learning Master student at the University of Tübingen, passionate about Reinforcement Learning and Probabilistic Machine Learning. Squint hard enough and everything becomes a probability distribution. ;)

About me

Machine Learning EngineerRobotics ResearcherSoftware Developer

About Me

I’m a Machine Learning graduate student at the University of Tübingen with extensive experience in robotics, computer vision, and reinforcement learning. Currently pursuing my Master’s in Machine Learning while participating in an Erasmus exchange at Politecnico di Milano, I combine theoretical knowledge with practical applications across multiple domains. My work spans from developing deep learning pipelines for medical applications to implementing vision-guided imitation learning for robotics. I’m passionate about creating intelligent systems that can learn and adapt to complex environments.

Expertise

  • Machine Learning: Deep Neural Networks, Reinforcement Learning, Computer Vision
  • Robotics: ROS/ROS2, Robotics Control Systems, Simulation Environments
  • Software Development: Python, C/C++, Database Systems, Docker

Current Projects

  • Distributed RL on Optimal Transport: Researching multi-agent asynchronous learning for train scheduling optimization
  • Field Robot Event: Developing navigation and computer vision algorithms for agricultural robotics
  • Generalized Simulation Based Inference: Improving sampling efficiency for simulation-based inference methods

Experience Highlights

  • Implementing EMG-to-pose deep learning pipelines at BG Clinic Tübingen
  • Developing vision-guided imitation learning for modular robots at Fraunhofer Italia
  • Building reinforcement learning algorithms for quadrupedal locomotion