astronomy

Sami Haddadin

Sami Haddadin is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Sami Haddadin rather than just read about it. In short: Sami Haddadin (born 26 June 1980) is a German electrical engineer, computer scientist, and university professor specializing in robotics and artificial intelligence. From April 2018 until January 2025, he served as the founding and executive director of the Munich Institute of Robotics and Machine Intelligence (TUM MIRMI) at the Technical University of Munich (TUM), where he also held the Chair of Robotics and Syste…

Key takeaways

Sami Haddadin belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Sami Haddadin to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Sami Haddadin from memory before moving on to harder problems.

Reference excerpt

Sami Haddadin (born 26 June 1980) is a German electrical engineer, computer scientist, and university professor specializing in robotics and artificial intelligence. From April 2018 until January 2025, he served as the founding and executive director of the Munich Institute of Robotics and Machine Intelligence (TUM MIRMI) at the Technical University of Munich (TUM), where he also held the Chair of Robotics and Systems Intelligence. Sami Haddadin is vice president for Research at the Mohamed bin Zayed University of Artificial Intelligence.

Early life and education Haddadin was born in Neustadt am Rübenberge, Germany, to a Jordanian doctor and a Finnish nurse. He is the eldest of three children. He completed his Abitur in 1999 in Stolzenau and pursued studies in electrical engineering and informatics at several institutions, including the Leibniz University Hannover, the University of Hagen, the University of Oulu in Finland, and Munich. Haddadin holds degrees in electrical engineering, computer science, and technology management from the Technical University of Munich and the Center for Digital Technology and Management (CDTM), a joint institute of TUM and LMU Munich.

Career Haddadin received his doctorate summa cum laude from RWTH Aachen University in 2011. He subsequently worked as a research assistant at the German Aerospace Center (DLR). From April 2014 to April 2018, he held the Chair of Automatic Control at the Leibniz University Hannover. From 2018 until January 2025, he joined TUM as a professor and director of TUM MIRMI. Haddadin has published over 200 scientific articles and is recognized for his contributions to robotics and AI. Haddadin is a co-founder of the German robotics company Franka Emika GmbH. His invention, the Panda Robotic Arm, was included in Time magazine's "50 Best Inventions of 2018" and featured in National Geographic in September 2020. His patent for the "Tactile Robot" is part of the "Milestone made in Germany" collection by the German Patent and Trade Mark Office (DPMA). Haddadin and his team curated the exhibition "KI.ROBOTIK.DESIGN," which explores the development and future of robotics and AI. The exhibition was presented at the Pinakothek der Moderne in Munich. Haddadin has been involved in various initiatives and commissions, such as the "Robot Factory" training program in Hanover and the Study Commission on Artificial Intelligence in the German Parliament. He has served on the EU High-Level Industrial Roundtable "Industry 2030" and the EU High-Level Expert Group on Artificial Intelligence. In 2020, he was appointed Chairman of the Bavarian AI Council.

Awards and honors Haddadin has received several prestigious awards, including the Gottfried Wilhelm Leibniz Prize in 2019 and the Alfried Krupp Sponsorship Award for Young University Teachers in 2015. In 2017, he and his colleagues Simon Haddadin and Sven Parusel were awarded the German Future Prize for their work on affordable, flexible, and user-friendly robots. In 2021, Haddadin was elected a member of the German National Academy of Sciences Leopoldina.

Startups Haddadin has founded several companies, including:

Franka Emika GmbH (2016) KBee AG (2014–2016) Kastanienbaum GmbH (2012–2014)

Publications Kühn, J., Bagnato, C., Burdet, E., Haddadin S. Arm movement adaptation to concurrent pain constraints. Scientific Reports 11, 6792 (2021). M. Tröbinger et al. and S. Haddadin, "Introducing GARMI - A Service Robotics Platform to Support the Elderly at Home: Design Philosophy, System Overview and First Results," in IEEE Robotics and Automation Letters, vol. 6, no. 3, pp. 5857–5864, July 2021. McLennan, S., Fiske, A., Celi, L., Müller, R., Harder, J.,Ritt, K., Haddadin, S., Buyx, A. (2020): An embedded ethics approach for AI development. Nature Machine Intelligence 2 (7), 488–490. Haddadin, S., Johannsmeier, L., & Ledezma, F. D. (2018): Tactile robots as a central embodiment of the Tactile Internet. Proceedings of the IEEE, 107(2), 471–487. Haddadin, S., Krieger, K., Albu-Schäffer, A., & Lilge, T. (2018): Exploiting elastic energy storage for "blind" cyclic manipulation: Modeling, stability analysis, control, and experiments for dribbling. IEEE Transactions on Robotics, 34(1), 91–112. 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. Haddadin 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. Haddadin S., Croft E. (2016) Physical Human–Robot Interaction. In: Siciliano B., Khatib O. (eds) Springer Handbook of Robotics. Springer Handbooks. Springer, Cham. Haddadin S. (2014): "Towards Safe Robots". Springer Tracts in Advanced Robotics 90, Springer Berlin Heidelberg. Haddadin 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. Hochberg LR, Bacher D, Jarosiewicz B, Masse NY, Simeral JD, Vogel J, Haddadin S, Liu J, Cash SS, van der Smagt P, et al. (2012): "Reach and grasp by people with tetraplegia using a neurally controlled robotic arm". Nature 485: 372–375. Yang, C., Ganesh, G., Haddadin, S., Parusel, S., Albu-Schaeffer, A., & Burdet, E. (2011). Human-like adaptation of force and impedance in stable and unstable interactions. IEEE transactions on robotics, 27(5), 918–930. Haddadin, S, Albu-Schäffer A, Hirzinger G (2009): "G. Requirements for safe robots: Measurements, analysis and new insights". The International Journal of Robotics Research. 28(11–12): 1507–1527.

References

External links Sami Haddadin publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Sami Haddadin

Start with the simplest possible case. Write down what Sami Haddadin claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Sami Haddadin before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Sami Haddadin ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Sami Haddadin

In research: Sami Haddadin appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Sami Haddadin in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Sami Haddadin is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1980 births, 21st-century German scientists, Academic staff of the Technical University of Munich, so understanding it makes those chapters shorter.
In everyday life: Look for Sami Haddadin outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Sami Haddadin in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Sami Haddadin means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Sami Haddadin out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Sami Haddadin in simple terms?

Why does Sami Haddadin matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Sami Haddadin?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Sami Haddadin.