Tools for training, test and validation of autonomous systems
Robo-Test provides a platform and toolbox for test and release of automated and autonomous systems. Our methods provide reliable, transparent and traceable information during development and test. We are actively involved in current test and approval procedures as well as standardisation. As a spin-off of the University of Stuttgart, Robo-Test is a neutral partner with a vast amount of experience in AI, automation and testing.
Intelligent
Data analysis, machine learning algorithms and co-simulation
Efficient
Cognitive testing for constraints, dependencies and exceptions
Transparent
Explainable AI and KPIs for traceable and optimised coverage
Flexible
Modular tool box for different use cases and customer needs
Solution
Solving the toughest problems around trustworthy autonomous systems
Situational analysis to find problems fast
Identification of "corner cases".
Dimension reduction and clustering.
Scenario and risk modelling.
Synthetic data for in-depth training and testing
Specification and generation of synthetic data.
Automatic variation and replication of scenarios through parameter manipulation.
Synthetic data for in-depth training and testing
Specification and generation of synthetic data.
Automatic variation and replication of scenarios through parameter manipulation.
Coverage schemes for large-scale development
Management of requirements, training and test cases.
Transparent and traceable development.
KPI for traceability and coverage.
2
Patents pending
25+
Publications
Platform
A system for cognitive test and management of training and test cases for autonomous systems
Deployed from Research