Smart robotics is key to automation

Thema:
Artifical intelligence

The products we manufacture as a society are becoming more advanced and more diverse. In addition, the associated production processes are becoming more and more complex.At the same time they have to be more and more flexible. This is time-consuming and human brainpower oftencomes up short here. However, we can cope with the complexity and flexibility if we opt to use robotisation and automation in an increasingly intelligent way. This will bring a future-proof industry a big step closer.

At TNO, for example, we are working on AI techniques forautomatic path planning. This allows the make industry to program robots in such a way that they can determine their own route and adjust it when the environment changes. This is especially possible in combination with machine learning. In this way wecreate a flawless production process, which saves time and money.

Automation is efficient and creative

A good example of this is the automation of metalworking. We use robots to do this. These are now manually programmed for each new product, which is time-consuming.

Based on the product knowledge and the work preparation, we are able to automatically generate the required robot paths. This can significantly increase daily production and save the operator a lot of manual program input.

On the design side, model based design optimisation techniques are decisive in order to make optimal decisions within the design space. Likeintelligent design assistance that enables us to make huge strides in the development of 3D printing ortopology optimisation techniques in which free form designs are created that a human designer couldn't imagine.

Automating the programming process

A lot of time and effort is needed to manually program robots. TNO wants to get this as close to zero as possible. To do this, we use:

  • All the available information of the product itself
  • The machining steps as defined in the operating instructions
  • A 3D environment model of the robot plus machine tools.

In this environment, intelligent path planners program the optimal automation process. Each separate part of that process is merged into a complete robot program. This is programmed almost automatically. This saves time and therefore leads to more productivity.

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Informatietype:
Insight
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You can read about how AI is educated in Chapter 1. How can we make clear to AI which goals we want to pursue as humans? Andhow can we ensure intelligent systems will always function in service of society?

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Informatietype:
Insight
27 September 2022

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Innovating with innovation AI

Informatietype:
Insight
27 September 2022

How AI will change research itself is explained in Chapter 3. For example, what role will AI be permitted to play in knowledge sharing? And what will happen when we make machines work with insurmountably large data sets?

David Deutsch on the development and application of AI

Informatietype:
Insight
27 September 2022

Peter Werkhoven, chief scientific officer at TNO, joins physicist, Oxford professor, and pioneer in the field of quantum computing, David Deutsch, for a virtual discussion. Deutsch set out his vision in 1997 in the book, The Fabric of Reality. Together, they talk about the significance of quantum computing for the development and application of AI. Will AI ever be able to generate ‘explained knowledge’ or learn about ethics from humans?

Rob de Wijk on the rise of AI in geopolitical context

Informatietype:
Insight
27 September 2022

Anne Fleur van Veenstra, director of science at TNO’s SA&P unit, interviews Rob de Wijk, emeritus professor of international relations in Leiden and founder of The Hague Centre for Strategic Studies. Rob is also a much sought-after expert who appears on radio and television programmes. What does the rise of AI mean geopolitically and in armed conflicts?