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Applying ROBOTest to conduct parallelised HIL-rig testing through the CarMaker simulation platform

Reference number
Coordinator Ainomaly Software AB
Funding from Vinnova SEK 200 000
Project duration May 2019 - August 2019
Status Completed

Purpose and goal

The purpose of the project was to prove to the customer that active machine learning can be applied to identify deviations from the spec in complex real-time software.

Expected results and effects

The results have been very well received by the customer and will lead to follow-up projects for Ainomaly with the customer.

Planned approach and implementation

We are very pleased with the design and cooperation in the implementation of the project.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 16 May 2019

Reference number 2019-02710

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