© Festo Didactic SE
Bionic Swift agile flight behaviour
The ultra-light Bionic Swift shows a particularly agile flight behaviour.
© Festo Didactic SE
Bionic Swift remote radio control
Playful learning: experience the flight characteristics of the Bionic Swift using remote radio control. 
© Festo Didactic SE
Bionic Swift experimental kit
Bionic Swift: The experimental kit that lets you experience bird flight and the world of bionics in a hands-on way. 
© Festo Didactic
2021/03/31
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全球
The right approaches against the shortage of skilled workers in the future
Enthusiasm for careers in technical professions and for the right learning tools and teaching methods in the ...
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Enthusiasm for careers in technical professions and for the right learning tools and teaching methods in the age of digitalisation - this is what participants at this year's digital Hannover Messe will experience in live sessions and virtual stand tours at Festo Didactic. The specialist for technical education and training is pulling out all the stops in its portfolio - from Bionics4Education to miniature learning factories, learning systems and ...
© Festo Didactic
Learning systems
Mechatronic learning systems and training programs: decades of experience from Festo Didactic
© Festo Didactic
Festo LX
Festo LX: Individual and mobile learning. The digital learning portal is based on multimedia learning nuggets.
© Festo Didactic
BionicFlower
Using Bionics4Education to arouse enthusiasm for technical professions in children and young people: This includes, for example, building the BionicFlower, a robotic flower inspired by the plant world. 
Chinese, Simplified translation unavailable for Jetzt am virtuellen Bildungskongress teilnehmen.
Chinese, Simplified translation unavailable for Virtueller Bildungskongress.
© Festo Didactic SE
2021/02/11
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全球
Practice-oriented introduction to artificial intelligence
The educational module "Machine Learning Vision" addresses the trends in the field of artificial ...
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The educational module "Machine Learning Vision" addresses the trends in the field of artificial intelligence and machine learning. Optical quality inspection as an application scenario is close to practice in the industrial environment. Through additional learning materials, the contents are structured in a didactic concept in which theoretical knowledge transfer alternates with practical experiments.