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

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GPT-NL boosts Dutch AI autonomy, knowledge, and technology

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Article
Large language models such as ChatGPT offer promising technical opportunities to address societal challenges, but  there are also concerns.

System integration for robots in greenhouses

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Article

AutoAdapt: Self-adaptive machine learning to propel us into the future

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Article

Developing moral models for AI systems

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Article

AI Systems Engineering & Lifecycle Management

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Article