Trustworthy Autonomous Systems

Trustworthy Autonomous Systems

Research into intelligent solutions in complex environments

Trustworthy Autonomous Systems

Software-driven, autonomous systems must increasingly navigate their way through unfamiliar environments and in the process make timely and safe decisions. For humans, these decisions have to be easy to comprehend, transparent and resilient against incorrect operation, technical outages and targeted attacks.

With this in mind, the Trustworthy Autonomous Systems field of competence develops trustworthy, autonomous/cognitive software architectures on the basis of artificial intelligence (AI). We conduct research into innovative approaches for the planning of intelligent behaviors and develop scalable, dependable algorithms for the merging of sensor, data and information. Our researchers create structured approaches that combine state-of-the-art system engineering with the latest AI research and supply the reference for development and certification.

We also conduct research into implementation concepts for autonomous/cognitive behavior, in addition to verification methods for autonomous/cognitive systems, which are linked at three levels:

  • solution: behavior-dynamic simulation approaches that use intentions as the ground truth
  • system: architecture approaches and redundancies
  • technology: methods related to error models from systematic, chance and uncertainty

We test our approaches on application demonstrators such as fully-automated driving and autonomous flying, as well as in intelligent infrastructures and digital twins.

Further information

fortiss whitepaper Trustworthy Autonomous/Cognitiv Systems
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Dr. Henrik Putzer

Your contact

Dr. Henrik Putzer

+49 152 55901040