Smart industry: thanks to AI, new employees can be onboarded straight away
Production processes in the manufacturing industry are becoming increasingly complex. And that makes the task of familiarising new employees with their working environment quickly and effectively all the more challenging. TNO is developing a system that uses artificial intelligence. The aim is to ensure that employees are given exactly the instructions they need at a particular time.
In most factories nowadays, assembly line work is carried out by advanced machines. In the manufacturing industry meanwhile, more and more work is also performed by robots. However, there is much that they cannot do. People are still needed for operating machinery and for complex and varied work, so they remain an important element in factories everywhere.
Little time to onboard people
The manufacturing industry prefers to employ people with engineering qualifications. In the Netherlands, though, people in that category are thin on the ground. So how about taking on people with no engineering background? In many cases that is the only option, but it does present a challenge. That’s because it takes a lot of time to onboard an inexperienced employee. In the meantime, customers want to know where the products are that they have ordered. In short – stress!
System that allows tailor-made solutions
It would be ideal if every employee – experienced or not – were to receive work instructions tailor-made for their situation. Not on paper, but step-by-step instructions projected onto a computer screen or smart glasses for example, or by a beamer onto a work table. And that is exactly what can be achieved using TNO’s ‘adaptive operator support system’.
Real-time instructions, thanks to AI
The system, which is controlled by artificial intelligence, also ensures that employees receive their instructions in real time – that is, precisely when they need to carry out an action or check something. Not only that, but the instructions are adapted to the level of knowledge and experience of the individual employee.
Below you can see how this works with the current Operator Support System prototype:
Extra boost for the manufacturing industry
TNO is working in partnership with Omron () and Thomas Regout International in the Flexible Manufacturing field lab on the Brainport Industries Campus. These companies are going to test and evaluate a prototype of the adaptive operator support system. Demonstration models are also being set up at the Brainport Industries Campus and at RoboHouse in Delft.
Interested firms will soon have the opportunity there to learn more about this AI system, which can give an extra boost to production capacity in the manufacturing industry.
Get inspired
AI Systems Engineering & Lifecycle Management
The AI system for the future. At TNO, we work on AI systems that remain reliable and can handle new functions in the future.


Educating AI
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?


Innovation with AI
What does that world look like in concrete terms? Using numerous examples, TNO has created a prognosis for the future in Chapter 2. Regarding construction, for example, in which AI will be used to check the quality, safety, and energy efficiency of buildings before they are actually built. Or healthcare, where robots will partly take over caregivers’ tasks and AI will be able to autonomously develop medicines.


Innovating with innovation AI
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
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?

