Oier Mees is a robotics and machine learning researcher-turned-lecturer with 15 years of experience bridging academic research and industry innovation, currently teaching "Robot Learning: From Fundamentals to Foundation Models" at ETH Zürich while leading Robot Learning & Foundation Models at Microsoft. He completed a postdoc at Berkeley AI Research (RAIL/BAIR) under Sergey Levine and earned a PhD in Robot Learning from Freiburg, blending deep expertise in control, perception (including Visual SLAM), and learning-based robotics. His background spans internships and research roles at NVIDIA, Fraunhofer, and several European labs, giving him hands-on experience with real-world robotic systems and teleoperation. Known for translating cutting-edge research into curriculum and product directions, he often works at the intersection of foundation models and embodied intelligence—a less obvious thread running through both his teaching and industrial leadership.
14 years of coding experience
11 years of employment as a software developer
Postdoctoral Scholar, Computer Science (Robot Learning), Postdoctoral Scholar, Computer Science (Robot Learning) at University of California, Berkeley
Doctor of Philosophy - PhD in Computer Science (Robot Learning), Doctor of Philosophy - PhD in Computer Science (Robot Learning) at The University of Freiburg
Erasmus, Robotics and Aritificial Intelligence, Computer Science, Erasmus, Robotics and Aritificial Intelligence, Computer Science at Karlsruhe Institute of Technology (KIT)
Contributions:25 commits, 9 pushes, 2 comments in 1 year 2 months
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