Hardware-in-the-Loop (HIL) testing enables validation of complex embedded systems under realistic conditions, but it typically requires significant expertise, time, and resources compared to traditional unit testing.
This presentation explores how Artificial Intelligence can accelerate the development of HIL environments and test scenarios, while also shortening the learning curve for engineers entering the field. We will discuss practical applications of AI for generating models for environment simulations and automating testing – along with a view of its current limitations and the importance of human expertise.
The session concludes with a live demonstration showing how AI-assisted techniques can speed up HIL testing from concept to execution.
