Gregor van Baars
- Smart industry
Contact us about Robotics and autonomous agents
At TNO, for example, we are working on AI techniques for automatic 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 we create a flawless production process, which saves time and money.
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. Like intelligent design assistance that enables us to make huge strides in the development of 3D printing or topology optimisation techniques in which free form designs are created that a human designer couldn't imagine.
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:
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.
The success and future of Smart Industry innovation will largely be determined by how far we’re able to develop AI techniques and tools for industrial application