Safe autonomous systems in an open world
Robotics, image recognition, self-driving cars. In recent years, artificial intelligence (AI) has made enormous progress in these areas. Meanwhile, concerns are growing about the safety of such autonomous systems.
Autonomous systems in the real world
TNO develops hybrid AI algorithms and software that enable autonomous systems to operate safely and effectively in an open environment.
Our latest developments
Impact Acceleration Challenge
TNO’s vision for responsible AI that works
System integration for robots in greenhouses
AutoAdapt: Self-adaptive machine learning to propel us into the future
Developing moral models for AI systems
Contact us
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Freek Bomhof
Functie:Senior ConsultantI am Freek Bomhof, programme director of the AI research programme Appl.AI within TNO. During my studies (Electrical Engineering), I worked on image recognition, a precursor to AI. I continued this work (by reading handwritten addresses with a computer for mail sorting at KPN), and then witnessed the rise of the internet up close, becoming immediately fascinated by the impact digitalisation has on our way of working and living.
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Standplaats:Den Haag - New Babylon
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Email:Email Freek
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