and often serves as a means to attract young people to technical subject fields and computer science. However, no robotics courses were submitted
to our survey as these are not considered as part of
AI. Robotics is an excellent domain for education
purposes for at least three complementary reasons.
First, there is the richness in number and diversity
of technical components involved. Second, to succeed in building a robotic system, a natural form of
teamwork is necessary. Finally, robots ground cognition in the real, physical world and they act in
this world and thereby interact with human
Robot-CH is an association that promotes robotics in Switzerland. It has been leading initiatives in
robotic competitions and in robotic education for
more than 10 years. For example, Bricobot is an
example of an elementary platform for robotic education that has been developed in Switzerland.
Swiss teams also participate in international competitions such as for example the FIRST Lego
League, Eurobot, or RoboCup at Home. The International Conference on Robotics in Education was
also held in May at Yverdon-les-Bains in Switzerland.
For More Information
This short column highlights a few of the numerous activities in AI-related research that are conducted in Switzerland. With the diversity of the
field and the rich research landscape in Switzerland
in general, we cannot be complete, but we hope to
have provided the interested reader with initial
pointers into Swiss research. Beyond this article,
we would like to invite international AI researchers
to contact SGAICO when traveling to Switzerland. We can establish contacts to AI/CO
researchers and we offer the SGAICO Forum lecture
series, where we can organize or announce your
talk given at a specific Swiss institution to the
nationwide SI communities spanning several thousand members.
We would like to thank René Schuhmann and Boi
Faltings for valuable input and comments on a
draft of this article.
1. The SI is one of the major IT/computer science organizations in Switzerland. The homepage of SI and SGAICO
can be found at www.s-i.ch/fachgruppen-und-sektio-nen/sgaico.
2. For more information, see the 2002 article by J.
Koehler and D. Ottiger: An AI-Based Approach to Desti-
nation Control in Elevators, AI Magazine
23( 3): 59–78.
3. See the 2015 paper by J. Schmidhuber. Deep Learning
in Neural Networks: An Overview. Neural Networks, Vol-
ume 61( January 2015): 85–117.
4. See, for example, the 2014 paper by K. Stockinger and
T. Stadelmann. 2014. Data Science für Lehre, Forschung
und Praxis. HMD — Praxis der Wirtschaftsinformatik,
Springer Fachmedien Wiesbaden
51( 4) (August 2014): 469–
5. See the 2010 paper by H. Müller, P. Clough, Th. Dese-laers, and B. Caputo. 2010. ImageCLEF — Experimental
Evaluation in Visual Information Retrieval. Springer Information Retrieval Series, Vol. 32. Berlin: Springer.
6. See the 2013 paper by Hayato Omori, Jean-Daniel
Dessimoz, Hiroki Tomori, Taro Nakamura, and Hisashi
Osumi. Piaget for the Smart Control of Complex Robotized Applications in Industry. ICINCO ( 2) 2013: 528–535.
Jean-Daniel Dessimoz is a professor of robotics and
automation at the University of Applied Sciences and
Arts of Western Switzerland, Yverdon-les-Bains, Switzerland.
Jana Koehler is a professor of computer science at the
University of Applied Sciences and Arts in Lucerne,
Thilo Stadelmann is an associate professor at the Zurich
University of Applied Sciences, Institute of Applied Information Technology in Switzerland.