TUM – Technical University of Munich Menü

Academic Career and Research Areas

Prof. Sami Haddadin is Director of the Munich School of Robotics and Machine Intelligence at the Technical University of Munich (TUM) and holds the Chair of Robotics Science and Systems Intelligence. His research interests include intelligent robot design, robot learning, collective intelligence, human-robot interaction, nonlinear control, real-time planning, optimal control, human neuromechanics and robot safety.

From 2014 to 2018, Sami Haddadin was Full Professor and Director of the Institute of Automatic Control at Gottfried Wilhelm Leibniz Universität Hannover, Germany. Prior to that, he held various positions as a research associate at the German Aerospace Center (DLR). He received degrees in Electrical Engineering, Computer Science and Technology Management from the Technical University of Munich and the Ludwig-Maximilians-Universität München. He received his doctorate with high distinction from RWTH Aachen. He has presented his work at conferences and published more than 130 scientific articles in international journals. He has been honored with numerous prestigious awards and prizes for his scientific work.

Awards

  • 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)
  • George Giralt PhD Award (2012)

Key Publications (all publications)

Tomic T, Ott C, Haddadin S: "External Wrench Estimation, Collision Detection, and Reflex Reaction for Flying Robots". IEEE Transactions on Robotics. 2017; 33(6): 1467-1482.

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Haddadin S, De Luca A, Albu-Schäffer A: "Robot Collisions: A Survey on Detection, Isolation, and Identification". IEEE Transactions on Robotics. 2017; 33(6): 1292-1312.

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Haddadin S, Haddadin S, Khoury A, Rokahr T, Parusel S, Burgkart R, Bicchi A, Albu-Schäffer. A: "On making robots understand safety: Embedding injury knowledge into control". The International Journal of Robotics Research. 2012; 31(13): 1578–1602.

Abstract

Hochberg LR, Bacher D, Jarosiewicz B, Masse NY, Simeral JD, Vogel J, Haddadin S, Liu J, Cash SS, van der Smagt P, et al: "Reach and grasp by people with tetraplegia using a neurally controlled robotic arm". Nature. 2012; 485: 372–375.

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Haddadin, S, Albu-Schäffer A, Hirzinger G: "G. Requirements for safe robots: Measurements, analysis and new insights". The International Journal of Robotics Research. 2009; 28(11-12): 1507-1527.

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