Prof. Dr. Sami Haddadin
Academic Career and Research Areas
Sami Haddadin is Director of the Munich Institute of Robotics and Machine Intelligence. His research covers robotics, artificial intelligence and neuroscience with a focus on human-machine interaction, humanoid robots, embodied AI and robot learning, nonlinear control, collective intelligence and human-robot symbiosis. His pioneering work on the creation of cooperative robot assistants, brain controlled robots and neuroprostheses, robot safety and optimal AI is considered groundbreaking. In addition, many of his robots have been commercialized and established as a global standard.
From 2014 to 2018, Prof. Haddadin held the position of Chair of Automatic Control at Gottfried Wilhelm Leibniz Universität Hannover. Prior to that, he served in various roles as a research associate at the German Aerospace Center (DLR). He holds degrees in Electrical Engineering, Computer Science, and Technology Management (TUM/ LMU) and earned his doctorate with high distinction from RWTH Aachen. He was a member of the High-Level Expert Group on AI for the European Commission and Chairman of the Bavarian AI Council.
Awards
- IEEE Fellow (2024)
- Gottfried Wilhelm Leibniz Prize of the German Research Foundation DFG (2019)
- German President’s Award for Innovation in Science and Technology (2017)
- Alfried Krupp Award for Young Professors (2015)
- IEEE/RAS Early Career Award (2015)
Key Publications (all publications)
Kühn J., Hu T., Pozo Fortunic E. & Jensen E., Haddadin S. (2024): “The synergy complement control approach for seamless limb-driven prostheses”. In: Nature Machine Intelligence 6 (2024), pp. 481–492.
AbstractDíaz Ledezma F., Haddadin S. (2023): “Machine learning–driven self-discovery of the robot body morphology”. In: Science Robotics 8.85 (2023).
AbstractHaddadin S., De Luca A. & Albu-Schäffer A. (2017): "Robot Collisions: A Survey on Detection, Isolation, and Identification". IEEE Transactions on Robotics, 33(6), 1292-1312.
AbstractHochberg LR., Bacher D., Jarosiewicz B,. Masse NY., Simeral JD, Vogel J., Haddadin S., Liu J., Cash S., van der Smagt P. & Donoghue J. (2012): "Reach and grasp by people with tetraplegia using a neurally controlled robotic arm". Nature 485, 372–375.
AbstractHaddadin S., Haddadin S., Khoury A., Rokahr T., Parusel S., Burgkart R., Bicchi A., Albu-Schäffer, A. (2012): "On making robots understand safety: Embedding injury knowledge into control". The International Journal of Robotics Research. 31(13): 1578–1602.
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