engineering

Stefan Schaal

Stefan Schaal is a engineering 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 Stefan Schaal rather than just read about it. In short: Stefan Schaal (born 1961) is a German-American computer scientist specializing in robotics, machine learning, autonomous systems, and computational neuroscience. Education and career Schaal was born in Frankfurt am Main in West Germany, Schaal grew up in the North Bavarian town of Nürnberg.

Key takeaways

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

Reference excerpt

Stefan Schaal (born 1961) is a German-American computer scientist specializing in robotics, machine learning, autonomous systems, and computational neuroscience.

Education and career Schaal was born in Frankfurt am Main in West Germany, Schaal grew up in the North Bavarian town of Nürnberg. After graduating from school, he served in the West German army in the Ski Patrol Division of Bad Reichenhall, where he honorably discharged with the rank of a Lieutenant. Schaal studied mechanical engineering at the Technical University of Munich, graduating in 1987 with a Diploma degree (summa cum laude). Subsequently, Schaal did his Ph.D. in computer aided design and artificial intelligence at the Technical University of Munich and the Massachusetts Institute of Technology, receiving his Ph.D. in 1991 (Summa Cum Laude) under Klaus Ehrlenspiel. In 1991, Schaal was a Postdoctoral Fellow at the Department and Brain and Cognitive Science and the Artificial Intelligence Lab at the Massachusetts Institute of Technology, funded by the Alexander von Humboldt Foundation and the German Academic Scholarship Foundation. Starting from 1992, he became an invited researcher at the ATR Computational Neuroscience Labs in Japan, where he created a robotics lab focusing on biological principles of motor control and learning. In 1994, Schaal moved to the Georgia Institute of Technology as an adjunct assistant professor, and also held the same rank at the Pennsylvania State University. In 1996, Schaal assumed a group leader position in the ERATO Kawato Dynamic Brain Project in Japan. Schaal joined the University of Southern California (USC) in 1997, where he advanced from the ranks of assistant professor, to associate professor, to full professor. In 2009, Schaal became a founder in defining and creating the Max Planck Institute for Intelligent Systems in Tübingen and Stuttgart, Germany, an institute focusing on principles of perception-action-learning systems in synthetic intelligence. In 2012, Schaal founded the Autonomous Motion Department (AMD) at this institute, while maintaining a partial appointment at USC. Stefan Schaal joined Google X as lead of a robotics research team in late 2018.

Research Stefan Schaal's interests focus on autonomous perception-action-learning systems, in particular anthropomorphic robotic systems. He works on topics of machine learning for control, control theory, computational neuroscience for neuromotor control, experimental robotics, reinforcement learning, artificial intelligence, and nonlinear dynamical systems. Stefan has co-authored more than 400 publications in top conferences and journals, and served as organizer on various top conferences in machine learning and robotics. He has received numerous best paper awards and honors in his scientific community. Stefan Schaal has been noted as one of the five leaders in robotics in 2011, and among the top robotics experts in the world.

Controversy In 2018, the German newsjournal Der Spiegel published an article reporting on his double affiliation with USC and the Max-Planck Society, both with full salaries, which was apparently unknown to either party. Schaal rejected the allegations, but was forced to leave his position at the Max Planck Institute.

References

External links 2014 IEEE Fellows Stefan Schaal on LinkedIn Stefan Schaal publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Stefan Schaal

Start with the simplest possible case. Write down what Stefan Schaal claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, 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 Stefan Schaal 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 Stefan Schaal 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 Stefan Schaal

In research: Stefan Schaal appears in engineering 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 Stefan Schaal 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: Stefan Schaal is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1961 births, American mechanical engineer stubs, American mechanical engineers, so understanding it makes those chapters shorter.
In everyday life: Look for Stefan Schaal 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 Stefan Schaal in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Stefan Schaal 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 Stefan Schaal out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Stefan Schaal in simple terms?

Stefan Schaal (born 1961) is a German-American computer scientist specializing in robotics, machine learning, autonomous systems, and computational neuroscience. Education and career Schaal was born in Frankfurt am Main in West Germany, Schaal grew up in the North Bavarian town of Nürnberg.

Why does Stefan Schaal matter?

Because it connects several engineering 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 Stefan Schaal?

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 Stefan Schaal.