Layered T&E for Safety-Critical Autonomous Systems: Difference between revisions

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(Created page with "{{subst:project boilerplate}} {{Project |Title=Layered T&E for Safety-Critical Autonomous Systems |Agency=AFOSR |Grant number=FA9550-22-1-0333 |Start date=30 Sep 2022 |End date=29 Sep 2025 |Support summary=1 postdoc, 1-2 graduate students |Reporting requirements=Annual program review + report |Project ID=AFOSR T&E2 |ack=Research supported by the AFOSR Test and Evaluation program, grant FA9550-22-1-0333 }}")
 
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Project description (typically about a paragraph)
The overall goal of this project is to develop a layered safety-critical framework for test and evaluation (T&E) with a focus on (semi-) autonomous systems. We leverage the structure of layered architectures to design tests that evaluate the safety-critical nature of next generation systems, specifically the multiple time scales present in modern day systems: the planning layer (minutes), the trajectory generation layer (seconds), and the real-time control layer (milliseconds). We exploit models present at these different levels, and the interactions between the layers, to design tests that evaluate system specifications in a provably safe manner. This will be achieved through the use of safety filters around autonomy features -- including AI driven controllers -- the guarantee safe T&E. Additionally, we exploit the layered layered structure of software for autonomous systems to allow for computationally efficient approaches to T&E that facilitate the integration of data-driven methods in uncertain environments. The methods developed are being deployed experimentally on a wide-variety of robotic systems: from legged robots, to flying robots, to multi-robot systems with legged and flying robots.


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Additional participants:
Additional participants:
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{{project additional participants}}
* Max Cohen (MCE)
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Collaborators:
Collaborators:
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Past participants:
Past participants:
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=== Objectives ===
=== Objectives ===
[[Image:project-name.png|right|400px]]
[[Image:afosr-t&e2.png|right|400px]]
Description of the main objectives of the project
My groups goals under this project are focused on the following objectives:
* ''Data-driven T&E'': Exploitation of data logging and data-in-the-loop testing in conjunction with the layered architecture to validate simulation- and regression-based elements of the certification process.
* ''Compositional T&E'': Development of compositional approaches to T&E allowing a smaller number of more comprehensive tests to validate system specifications.


=== References ===
=== References ===
{{project paper list}}
{{project paper list}}


[[Category:Pending project]]
[[Category:Active projects]]
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{{Project
{{Project
|Title=Layered T&E for Safety-Critical Autonomous Systems
|Title=Layered T&E for Safety-Critical Autonomous Systems

Latest revision as of 22:36, 8 December 2024

The overall goal of this project is to develop a layered safety-critical framework for test and evaluation (T&E) with a focus on (semi-) autonomous systems. We leverage the structure of layered architectures to design tests that evaluate the safety-critical nature of next generation systems, specifically the multiple time scales present in modern day systems: the planning layer (minutes), the trajectory generation layer (seconds), and the real-time control layer (milliseconds). We exploit models present at these different levels, and the interactions between the layers, to design tests that evaluate system specifications in a provably safe manner. This will be achieved through the use of safety filters around autonomy features -- including AI driven controllers -- the guarantee safe T&E. Additionally, we exploit the layered layered structure of software for autonomous systems to allow for computationally efficient approaches to T&E that facilitate the integration of data-driven methods in uncertain environments. The methods developed are being deployed experimentally on a wide-variety of robotic systems: from legged robots, to flying robots, to multi-robot systems with legged and flying robots.

Current participants:

Additional participants:

  • Max Cohen (MCE)

Collaborators:

Past participants:

Objectives

Afosr-t&e2.png

My groups goals under this project are focused on the following objectives:

  • Data-driven T&E: Exploitation of data logging and data-in-the-loop testing in conjunction with the layered architecture to validate simulation- and regression-based elements of the certification process.
  • Compositional T&E: Development of compositional approaches to T&E allowing a smaller number of more comprehensive tests to validate system specifications.

References



Research supported by the AFOSR Test and Evaluation program, grant FA9550-22-1-0333

  • Agency: AFOSR
  • Grant number: FA9550-22-1-0333
  • Start date: 30 Sep 2022
  • End date: 29 Sep 2025
  • Support: 1 postdoc, 1-2 graduate students
  • Reporting: Annual program review + report